不動産取引価格予測

不動産価格はいくらになる？

賞金: 100,000 円参加ユーザー数: 412 4年以上前に終了

参加する

hirayuki

LightGBMによるBase line

参考資料

[動作環境] Google colaboratory

from google.colab import drive
drive.mount('/content/drive/')

Drive already mounted at /content/drive/; to attempt to forcibly remount, call drive.mount("/content/drive/", force_remount=True).

# ご自身の環境に合わせてください
%cd /content/drive/My\ Drive/予測コンペ/ProbSpace/不動産取引価格予測
!ls

/content/drive/My Drive/予測コンペ/ProbSpace/不動産取引価格予測
estate_estimation_prediction.ipynb  test_data.csv
published_land_price.csv	    train_data.csv

import featuretools as ft
import lightgbm as lgb
#import optuna
import numpy as np
import sklearn.datasets
import sklearn.metrics
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
import xgboost as xgb
import seaborn as sns
from tensorflow import keras
import keras.layers as L
from keras.models import Model
from sklearn.decomposition import PCA
from keras import losses
from sklearn import preprocessing
from sklearn.metrics import log_loss
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import KFold
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

!pip install japanize-matplotlib
import japanize_matplotlib
!pip install jeraconv
from jeraconv import jeraconv

Requirement already satisfied: japanize-matplotlib in /usr/local/lib/python3.6/dist-packages (1.0.5)
Collecting jeraconv
  Downloading https://files.pythonhosted.org/packages/b6/b0/c4471ecae4fa8ba6143cd828bcc739d1ae442cc668d86eed4ac26a91d1a9/jeraconv-0.2.1-py3-none-any.whl
Installing collected packages: jeraconv
Successfully installed jeraconv-0.2.1

データの読み込み

train = pd.read_csv("train_data.csv")
print("train shape is " + str(train.shape))
train.head()

train shape is (356344, 28)

	id	種類	地域	市区町村コード	都道府県名	市区町村名	地区名	最寄駅：名称	最寄駅：距離（分）	間取り	面積（㎡）	土地の形状	間口	延床面積（㎡）	建築年	建物の構造	用途	今後の利用目的	前面道路：方位	前面道路：種類	前面道路：幅員（ｍ）	都市計画	建ぺい率（％）	容積率（％）	取引時点	改装	取引の事情等	y
0	1	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	1	２ＬＤＫ	55	NaN	NaN	NaN	昭和59年	ＳＲＣ	NaN	住宅	NaN	NaN	NaN	商業地域	80.0	600.0	2017年第４四半期	改装済	NaN	66.0
1	2	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	5	１Ｋ	20	NaN	NaN	NaN	平成15年	ＲＣ	NaN	住宅	NaN	NaN	NaN	商業地域	80.0	500.0	2017年第４四半期	未改装	NaN	19.0
2	3	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	3	１ＬＤＫ	45	NaN	NaN	NaN	平成24年	ＲＣ	住宅	その他	NaN	NaN	NaN	商業地域	80.0	500.0	2017年第３四半期	未改装	NaN	37.0
3	4	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	5	１Ｒ	20	NaN	NaN	NaN	平成15年	ＲＣ	住宅	住宅	NaN	NaN	NaN	商業地域	80.0	500.0	2017年第３四半期	未改装	NaN	18.0
4	5	宅地(土地と建物)	商業地	13101	東京都	千代田区	飯田橋	飯田橋	3	NaN	80	ほぼ台形	6.8	330	昭和61年	ＲＣ	住宅、事務所、店舗	事務所	南西	区道	8.0	商業地域	80.0	500.0	2017年第２四半期	NaN	NaN	240.0

test = pd.read_csv("test_data.csv")
iddf = test[["id"]]
print("test shape is " + str(test.shape))
test.head()

test shape is (34844, 27)

	id	種類	地域	市区町村コード	都道府県名	市区町村名	地区名	最寄駅：名称	最寄駅：距離（分）	間取り	面積（㎡）	土地の形状	間口	延床面積（㎡）	建築年	建物の構造	用途	今後の利用目的	前面道路：方位	前面道路：種類	前面道路：幅員（ｍ）	都市計画	建ぺい率（％）	容積率（％）	取引時点	改装	取引の事情等
0	1	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	3	１ＬＤＫ	35	NaN	NaN	NaN	昭和60年	ＳＲＣ	住宅	住宅	NaN	NaN	NaN	商業地域	80.0	700.0	2018年第４四半期	未改装	NaN
1	2	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	4	１Ｋ	20	NaN	NaN	NaN	昭和57年	ＳＲＣ	NaN	住宅	NaN	NaN	NaN	商業地域	80.0	700.0	2018年第３四半期	未改装	NaN
2	3	宅地(土地と建物)	商業地	13101	東京都	千代田区	飯田橋	飯田橋	3	NaN	80	ほぼ台形	6.8	330	昭和61年	ＲＣ	住宅、事務所、店舗	事務所	南西	区道	8.0	商業地域	80.0	500.0	2018年第２四半期	NaN	NaN
3	4	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	3	１Ｋ	30	NaN	NaN	NaN	昭和60年	ＳＲＣ	NaN	住宅	NaN	NaN	NaN	商業地域	80.0	700.0	2018年第２四半期	未改装	NaN
4	5	中古マンション等	NaN	13101	東京都	千代田区	飯田橋	飯田橋	1	２ＬＤＫ	70	NaN	NaN	NaN	昭和59年	ＳＲＣ	NaN	住宅	NaN	NaN	NaN	商業地域	80.0	600.0	2018年第２四半期	未改装	NaN

for i, val in enumerate(train.columns):
  print("====================")
  print(i, val)
  if val == "id":
    continue
  train[val].value_counts(dropna=False).plot.bar(figsize=(19, 3), fontsize=18, title=val)
  plt.show()

====================
0 id
====================
1 種類

====================
2 地域

====================
3 市区町村コード

====================
4 都道府県名

====================
5 市区町村名

====================
6 地区名

====================
7 最寄駅：名称

====================
8 最寄駅：距離（分）

====================
9 間取り

====================
10 面積（㎡）

====================
11 土地の形状

====================
12 間口

====================
13 延床面積（㎡）

====================
14 建築年

====================
15 建物の構造

====================
16 用途

====================
17 今後の利用目的

====================
18 前面道路：方位

====================
19 前面道路：種類

====================
20 前面道路：幅員（ｍ）

====================
21 都市計画

====================
22 建ぺい率（％）

====================
23 容積率（％）

====================
24 取引時点

====================
25 改装

====================
26 取引の事情等

====================
27 y

前処理

cat_features = ['種類', '地域', '市区町村コード', '都道府県名', '市区町村名', '地区名', '最寄駅：名称',
                 '間取り', '土地の形状', '間口', '建物の構造','用途', '今後の利用目的', '前面道路：方位',
                 '前面道路：種類', '都市計画', '取引時点', '改装', '取引の事情等']
num_features = ['最寄駅：距離（分）', '面積（㎡）', '延床面積（㎡）', '建築年', '建ぺい率（％）', '前面道路：幅員（ｍ）', '容積率（％）']


train = pd.read_csv("train_data.csv")
test = pd.read_csv("test_data.csv")

def create_features(df):
  def fill_nan(df):
    df["地域"].fillna("不明", inplace=True)
    df["地区名"].fillna("不明", inplace=True)
    df["最寄駅：名称"].fillna("不明", inplace=True)
    df["建物の構造"].fillna("不明", inplace=True)
    df["用途"].fillna("不明", inplace=True)
    df["今後の利用目的"].fillna("不明", inplace=True)
    df["前面道路：方位"].fillna("不明", inplace=True)
    df["前面道路：種類"].fillna("不明", inplace=True)
    df["都市計画"].fillna("不明", inplace=True)
    df["取引の事情等"].fillna("不明", inplace=True)
    df["土地の形状"].fillna("不明", inplace=True)
    df["改装"].fillna("不明", inplace=True)
    
    df["最寄駅：距離（分）"].fillna("15", inplace=True)
    df["最寄駅：距離（分）"].replace({"30分?60分": "40", "1H?1H30": "60", "1H30?2H": "80", "2H?": "100" }, inplace=True)
    df["最寄駅：距離（分）"] = df["最寄駅：距離（分）"].astype(np.int16)
    
    df["面積（㎡）"].replace({"2000㎡以上": "2000", "5000㎡以上": "5000"}, inplace=True)
    df["面積（㎡）"] = df["面積（㎡）"].astype(np.float16)
    sq_roomtype_zip = df.groupby("間取り").mean()["面積（㎡）"].sort_values().items()
    df["間取り"] = "1R"
    for index, value in sq_roomtype_zip:
      df["間取り"][df["面積（㎡）"] > value] = index
    
    df["間口"].replace({"50.0m以上": "50"}, inplace=True)
    df["間口"] = df["間口"].astype(np.float16)
    df["間口"].fillna(df["面積（㎡）"]/40, inplace=True)
    df["間口"][df["間口"]>50] = 50

    df["延床面積（㎡）"].replace({"2000㎡以上": "2000", "10m^2未満": "100"}, inplace=True)
    df["延床面積（㎡）"] = df["延床面積（㎡）"].astype(np.float16)
    df["延床面積（㎡）"].fillna(df["延床面積（㎡）"].median(), inplace=True)

    df["建築年"].replace({"戦前": "昭和10年"}, inplace=True)
    df["建築年"].ｆｉｌｌｎａ("昭和56年", inplace=True)
    df["建築年"] = df["建築年"].apply(lambda x: j2w.convert(x))
    df["建築年"] = df["建築年"].astype(np.int16)

    df["前面道路：幅員（ｍ）"].fillna(df["前面道路：幅員（ｍ）"].median(), inplace=True)

    df["建ぺい率（％）"].fillna(df["建ぺい率（％）"].mean(), inplace=True)

    df["容積率（％）"].fillna(df["容積率（％）"].mean(), inplace=True)
    df["取引時点"] = df["取引時点"].apply(lambda x: int(x[:4] + x[6:7]))
    return df

  def create_address(df):
    df["address"] = df["市区町村名"] + df["地区名"] 
    df["build_deal"] = df["建築年"] * df["取引時点"] 
    df["sq_ys"] = df["面積（㎡）"] * df["容積率（％）"] 
    df["sq_kp"] = df["面積（㎡）"] * df["建ぺい率（％）"] 
    df["build2"] = df["建築年"] ** 2
    df["deal2"] = df["取引時点"] ** 2
    return df
  
  def del_col(df):
    del df["地区名"]
    del df["都道府県名"]
    return df
  
  df = fill_nan(df)
  df = create_address(df)
  df = del_col(df)
  return df

cat_features.append("address")
cat_features.remove("地区名")
cat_features.remove("取引時点")
cat_features.remove("都道府県名")

train = create_features(train)
test = create_features(test)

target = train["y"]

for c in cat_features:
  # 学習データ全体で、各カテゴリの置けるtargetの平均を計算
  data_tmp = pd.DataFrame({c: train[c], "target": target})
  target_mean = data_tmp.groupby(c)["target"].mean()
  # テストデータのカテゴリを置換
  test[c] = test[c].map(target_mean).astype(np.float)

  # 学習データの変換後の値を格納する配列を準備
  tmp = np.repeat(np.nan, train.shape[0])

  # 学習データを分割
  kf = KFold(n_splits=4, shuffle=True, random_state=42)
  for idx_1, idx_2 in kf.split(train):
    target_mean = data_tmp.iloc[idx_1].groupby(c)["target"].mean()
    tmp[idx_2] = train[c].iloc[idx_2].map(target_mean)
  train[c] = tmp

train.fillna(train.mean(), inplace=True)
test.fillna(test.mean(), inplace=True)

# data expanding
train = train.append(train + np.random.randn(train.shape[0]*train.shape[1]).reshape(train.shape))
train = train.append(train + np.random.randn(train.shape[0]*train.shape[1]).reshape(train.shape))


X = train.drop(["y", "id"], axis=1)
y = train["y"]
test = test.drop(["id"], axis=1)

scalar = StandardScaler()
scalar.fit(X)
X = pd.DataFrame(scalar.transform(X), columns=X.columns)
test = pd.DataFrame(scalar.transform(test), columns=test.columns)
train.head()

	id	種類	地域	市区町村コード	市区町村名	最寄駅：名称	最寄駅：距離（分）	間取り	面積（㎡）	土地の形状	間口	延床面積（㎡）	建築年	建物の構造	用途	今後の利用目的	前面道路：方位	前面道路：種類	前面道路：幅員（ｍ）	都市計画	建ぺい率（％）	容積率（％）	取引時点	改装	取引の事情等	y	address	build_deal	sq_ys	sq_kp	build2	deal2
0	1.0	30.626136	30.574510	221.791812	221.791812	96.270613	1.0	32.783775	55.0	30.699172	30.186797	95.0	1984.0	68.872962	86.551330	50.140151	30.796419	30.744432	5.0	100.936111	80.0	600.0	20174.0	29.824283	65.733106	66.0	106.573585	40025216.0	33000.0	4400.0	4096.0	406990276.0
1	2.0	30.585817	30.532314	231.778188	231.778188	115.091268	5.0	17.620939	20.0	30.621200	17.633868	95.0	2003.0	55.758311	85.648983	50.305978	30.600559	30.556579	5.0	98.561358	80.0	500.0	20174.0	31.253280	65.435540	19.0	101.345455	40408522.0	10000.0	1600.0	14313.0	406990276.0
2	3.0	30.626136	30.574510	221.791812	221.791812	96.270613	3.0	27.441103	45.0	30.699172	24.473056	95.0	2012.0	56.309580	36.462466	91.308749	30.796419	30.744432	5.0	100.936111	80.0	500.0	20173.0	31.305669	65.733106	37.0	106.573585	40588076.0	22500.0	3600.0	-15088.0	406949929.0
3	4.0	30.585817	30.532314	231.778188	231.778188	115.091268	5.0	17.620939	20.0	30.621200	17.633868	95.0	2003.0	55.758311	36.441886	50.305978	30.600559	30.556579	5.0	98.561358	80.0	500.0	20173.0	31.253280	65.435540	18.0	101.345455	40406519.0	10000.0	1600.0	14313.0	406949929.0
4	5.0	96.500711	305.413303	229.097572	229.097572	115.894208	3.0	48.677078	80.0	99.888248	53.610795	330.0	1986.0	56.287325	312.634715	286.578853	108.576709	121.494430	8.0	100.893105	80.0	500.0	20172.0	88.731544	65.474373	240.0	90.358400	40061592.0	40000.0	6400.0	12036.0	406909584.0

LGB

# Optunaの最適化パラメータを代入する
light_params = {'task': 'train',
        'boosting_type': 'gbdt',
        'objective': 'regression',
        'metric': {'rmse'},
        'verbosity': -1,
        "seed":42,}
best_params = {}
#best_params = light_trial.params
light_params.update(best_params)


FOLD_NUM = 4
kf = KFold(n_splits=FOLD_NUM,
           #shuffle=True,
           random_state=42)
scores = []
feature_importance_df = pd.DataFrame()

pred_cv = np.zeros(len(test.index))
num_round = 10000


for i, (tdx, vdx) in enumerate(kf.split(X, y)):
    print(f'Fold : {i}')
    X_train, X_valid, y_train, y_valid = X.iloc[tdx], X.iloc[vdx], y.values[tdx], y.values[vdx]
    lgb_train = lgb.Dataset(X_train, y_train)
    lgb_valid = lgb.Dataset(X_valid, y_valid)
    model = lgb.train(light_params, lgb_train, num_boost_round=num_round,
                  valid_names=["train", "valid"], valid_sets=[lgb_train, lgb_valid],
                  early_stopping_rounds=10)
    va_pred = model.predict(X_valid)
    score_ = np.sqrt(mean_squared_error(y_valid, va_pred))
    scores.append(score_)
    submission = model.predict((test), num_iteration=model.best_iteration)
    pred_cv += submission/FOLD_NUM

print("##########")
print(np.mean(scores))

##########
79.3112054137479

# 79.3112054137479
light_submission_df = pd.concat([iddf, pd.DataFrame(pred_cv)], axis=1)
light_submission_df.columns = ["id", "y"]
light_submission_df.to_csv("submission_lgb.csv", index=False)
print("end")

end

!pip install optuna
import optuna

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Collecting pyperclip
  Downloading https://files.pythonhosted.org/packages/f6/5b/55866e1cde0f86f5eec59dab5de8a66628cb0d53da74b8dbc15ad8dabda3/pyperclip-1.8.0.tar.gz
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Building wheels for collected packages: alembic
  Building wheel for alembic (PEP 517) ... ?25lbic: filename=alembic-1.4.2-cp36-none-any.whl size=159543 sha256=2c776f6c58623bee2529500caae1ec6e6698f1f2cdf09450a42b0d4a679dac46
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Successfully built alembic
Building wheels for collected packages: optuna, pyperclip
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Successfully built optuna pyperclip
Installing collected packages: Mako, python-editor, alembic, pyperclip, cmd2, pbr, stevedore, cliff, cmaes, colorlog, optuna
Successfully installed Mako-1.1.2 alembic-1.4.2 cliff-3.1.0 cmaes-0.5.0 cmd2-0.8.9 colorlog-4.1.0 optuna-1.3.0 pbr-5.4.5 pyperclip-1.8.0 python-editor-1.0.4 stevedore-1.32.0

OptunaLightGBM

def objective(trial):
    params = {
        'task': 'train',
        'boosting_type': 'gbdt',
        'objective': 'regression',
        'metric': {'rmse'},
        'verbosity': -1,
        "seed":42,
        "learning_rate":trial.suggest_loguniform('lambda_l1', 0.005, 0.03),
        'lambda_l1': trial.suggest_loguniform('lambda_l1', 1e-8, 10.0),
        'lambda_l2': trial.suggest_loguniform('lambda_l2', 1e-8, 10.0),
        'num_leaves': trial.suggest_int('num_leaves', 2, 256),
        'feature_fraction': trial.suggest_uniform('feature_fraction', 0.4, 1.0),
        'bagging_fraction': trial.suggest_uniform('bagging_fraction', 0.4, 1.0),
        'bagging_freq': trial.suggest_int('bagging_freq', 1, 7),
        'min_child_samples': trial.suggest_int('min_child_samples', 5, 100),
    }
    FOLD_NUM = 4
    kf = KFold(n_splits=FOLD_NUM,
              #shuffle=True,
              random_state=42)
    scores = []
    feature_importance_df = pd.DataFrame()

    pred_cv = np.zeros(len(test.index))
    num_round = 10000


    for i, (tdx, vdx) in enumerate(kf.split(X, y)):
        print(f'Fold : {i}')
        X_train, X_valid, y_train, y_valid = X.iloc[tdx], X.iloc[vdx], y.values[tdx], y.values[vdx]
        lgb_train = lgb.Dataset(X_train, y_train)
        lgb_valid = lgb.Dataset(X_valid, y_valid)
        model = lgb.train(light_params, lgb_train, num_boost_round=num_round,
                      valid_names=["train", "valid"], valid_sets=[lgb_train, lgb_valid],
                      early_stopping_rounds=10)
        va_pred = model.predict(X_valid)
        score_ = np.sqrt(mean_squared_error(y_valid, va_pred))
        scores.append(score_)

    return np.mean(scores)

study = optuna.create_study(direction='maximize')
study.optimize(objective, n_trials=100)

# 結果の確認
print('Best trial:')
light_trial = study.best_trial

print('  Value: {}'.format(light_trial.value))

print('  Params: ')

with open("lightgbmparams.txt", "w") as file:
    for key, value in light_trial.params.items():
       print('    "{}": {},'.format(key, value))
       file.write('"{}": {},'.format(key, value))

ストリーミング出力は最後の 5000 行に切り捨てられました。
[247]	train's rmse: 66.1922	valid's rmse: 117.637
[248]	train's rmse: 66.0469	valid's rmse: 117.583
[249]	train's rmse: 65.7799	valid's rmse: 117.482
[250]	train's rmse: 65.7111	valid's rmse: 117.436
[251]	train's rmse: 65.6644	valid's rmse: 117.401
[252]	train's rmse: 65.5539	valid's rmse: 117.34
[253]	train's rmse: 65.3637	valid's rmse: 117.333
[254]	train's rmse: 65.2808	valid's rmse: 117.292
[255]	train's rmse: 65.2539	valid's rmse: 117.274
[256]	train's rmse: 65.1498	valid's rmse: 117.194
[257]	train's rmse: 65.0633	valid's rmse: 117.164
[258]	train's rmse: 64.7788	valid's rmse: 116.908
[259]	train's rmse: 64.6078	valid's rmse: 116.708
[260]	train's rmse: 64.4962	valid's rmse: 116.642
[261]	train's rmse: 64.4267	valid's rmse: 116.574
[262]	train's rmse: 64.3967	valid's rmse: 116.558
[263]	train's rmse: 64.3436	valid's rmse: 116.52
[264]	train's rmse: 64.2585	valid's rmse: 116.492
[265]	train's rmse: 64.1615	valid's rmse: 116.444
[266]	train's rmse: 64.0823	valid's rmse: 116.373
[267]	train's rmse: 64.0213	valid's rmse: 116.346
[268]	train's rmse: 63.9384	valid's rmse: 116.275
[269]	train's rmse: 63.8743	valid's rmse: 116.218
[270]	train's rmse: 63.807	valid's rmse: 116.226
[271]	train's rmse: 63.7305	valid's rmse: 116.204
[272]	train's rmse: 63.5206	valid's rmse: 116.145
[273]	train's rmse: 63.4717	valid's rmse: 116.135
[274]	train's rmse: 63.3149	valid's rmse: 115.934
[275]	train's rmse: 63.241	valid's rmse: 115.906
[276]	train's rmse: 63.0574	valid's rmse: 115.913
[277]	train's rmse: 62.9924	valid's rmse: 115.867
[278]	train's rmse: 62.9439	valid's rmse: 115.844
[279]	train's rmse: 62.8689	valid's rmse: 115.791
[280]	train's rmse: 62.8121	valid's rmse: 115.757
[281]	train's rmse: 62.7276	valid's rmse: 115.716
[282]	train's rmse: 62.5969	valid's rmse: 115.669
[283]	train's rmse: 62.532	valid's rmse: 115.653
[284]	train's rmse: 62.3949	valid's rmse: 115.494
[285]	train's rmse: 62.3275	valid's rmse: 115.45
[286]	train's rmse: 62.2842	valid's rmse: 115.424
[287]	train's rmse: 62.1113	valid's rmse: 115.401
[288]	train's rmse: 62.021	valid's rmse: 115.373
[289]	train's rmse: 61.9821	valid's rmse: 115.345
[290]	train's rmse: 61.8654	valid's rmse: 115.318
[291]	train's rmse: 61.5908	valid's rmse: 115.022
[292]	train's rmse: 61.5261	valid's rmse: 114.985
[293]	train's rmse: 61.4875	valid's rmse: 114.966
[294]	train's rmse: 61.4541	valid's rmse: 114.951
[295]	train's rmse: 61.3165	valid's rmse: 114.87
[296]	train's rmse: 61.2789	valid's rmse: 114.85
[297]	train's rmse: 61.1856	valid's rmse: 114.853
[298]	train's rmse: 61.1254	valid's rmse: 114.822
[299]	train's rmse: 61.0638	valid's rmse: 114.812
[300]	train's rmse: 60.9998	valid's rmse: 114.803
[301]	train's rmse: 60.8674	valid's rmse: 114.759
[302]	train's rmse: 60.7873	valid's rmse: 114.707
[303]	train's rmse: 60.6776	valid's rmse: 114.613
[304]	train's rmse: 60.6532	valid's rmse: 114.597
[305]	train's rmse: 60.6124	valid's rmse: 114.578
[306]	train's rmse: 60.5778	valid's rmse: 114.567
[307]	train's rmse: 60.5452	valid's rmse: 114.552
[308]	train's rmse: 60.418	valid's rmse: 114.491
[309]	train's rmse: 60.381	valid's rmse: 114.48
[310]	train's rmse: 60.3102	valid's rmse: 114.431
[311]	train's rmse: 60.2336	valid's rmse: 114.376
[312]	train's rmse: 60.1811	valid's rmse: 114.344
[313]	train's rmse: 60.0801	valid's rmse: 114.268
[314]	train's rmse: 60.0147	valid's rmse: 114.234
[315]	train's rmse: 59.917	valid's rmse: 114.168
[316]	train's rmse: 59.8364	valid's rmse: 114.102
[317]	train's rmse: 59.7989	valid's rmse: 114.079
[318]	train's rmse: 59.7543	valid's rmse: 114.041
[319]	train's rmse: 59.686	valid's rmse: 113.967
[320]	train's rmse: 59.6378	valid's rmse: 113.943
[321]	train's rmse: 59.6044	valid's rmse: 113.92
[322]	train's rmse: 59.5222	valid's rmse: 113.906
[323]	train's rmse: 59.5008	valid's rmse: 113.896
[324]	train's rmse: 59.4683	valid's rmse: 113.881
[325]	train's rmse: 59.3077	valid's rmse: 113.86
[326]	train's rmse: 59.2504	valid's rmse: 113.835
[327]	train's rmse: 59.137	valid's rmse: 113.773
[328]	train's rmse: 59.0957	valid's rmse: 113.76
[329]	train's rmse: 59.0022	valid's rmse: 113.776
[330]	train's rmse: 58.8009	valid's rmse: 113.729
[331]	train's rmse: 58.7793	valid's rmse: 113.716
[332]	train's rmse: 58.7556	valid's rmse: 113.707
[333]	train's rmse: 58.5728	valid's rmse: 113.601
[334]	train's rmse: 58.5147	valid's rmse: 113.585
[335]	train's rmse: 58.4801	valid's rmse: 113.562
[336]	train's rmse: 58.4306	valid's rmse: 113.537
[337]	train's rmse: 58.2543	valid's rmse: 113.435
[338]	train's rmse: 58.1971	valid's rmse: 113.406
[339]	train's rmse: 58.1578	valid's rmse: 113.396
[340]	train's rmse: 58.0966	valid's rmse: 113.349
[341]	train's rmse: 58.0438	valid's rmse: 113.313
[342]	train's rmse: 58.0055	valid's rmse: 113.308
[343]	train's rmse: 57.9126	valid's rmse: 113.256
[344]	train's rmse: 57.7983	valid's rmse: 113.23
[345]	train's rmse: 57.7483	valid's rmse: 113.201
[346]	train's rmse: 57.7082	valid's rmse: 113.193
[347]	train's rmse: 57.6533	valid's rmse: 113.163
[348]	train's rmse: 57.6077	valid's rmse: 113.121
[349]	train's rmse: 57.4817	valid's rmse: 113.116
[350]	train's rmse: 57.3655	valid's rmse: 113.083
[351]	train's rmse: 57.2722	valid's rmse: 113.038
[352]	train's rmse: 57.2326	valid's rmse: 113.015
[353]	train's rmse: 57.1724	valid's rmse: 112.962
[354]	train's rmse: 57.1349	valid's rmse: 112.946
[355]	train's rmse: 57.097	valid's rmse: 112.933
[356]	train's rmse: 57.0243	valid's rmse: 112.903
[357]	train's rmse: 56.9756	valid's rmse: 112.879
[358]	train's rmse: 56.9408	valid's rmse: 112.864
[359]	train's rmse: 56.8022	valid's rmse: 112.822
[360]	train's rmse: 56.7797	valid's rmse: 112.819
[361]	train's rmse: 56.7209	valid's rmse: 112.792
[362]	train's rmse: 56.645	valid's rmse: 112.793
[363]	train's rmse: 56.5855	valid's rmse: 112.766
[364]	train's rmse: 56.4614	valid's rmse: 112.753
[365]	train's rmse: 56.4172	valid's rmse: 112.731
[366]	train's rmse: 56.3947	valid's rmse: 112.72
[367]	train's rmse: 56.3603	valid's rmse: 112.709
[368]	train's rmse: 56.3252	valid's rmse: 112.689
[369]	train's rmse: 56.2936	valid's rmse: 112.675
[370]	train's rmse: 56.23	valid's rmse: 112.638
[371]	train's rmse: 56.1626	valid's rmse: 112.566
[372]	train's rmse: 56.1126	valid's rmse: 112.544
[373]	train's rmse: 55.9235	valid's rmse: 112.471
[374]	train's rmse: 55.789	valid's rmse: 112.314
[375]	train's rmse: 55.6501	valid's rmse: 112.261
[376]	train's rmse: 55.5896	valid's rmse: 112.216
[377]	train's rmse: 55.5578	valid's rmse: 112.206
[378]	train's rmse: 55.517	valid's rmse: 112.186
[379]	train's rmse: 55.4606	valid's rmse: 112.184
[380]	train's rmse: 55.4168	valid's rmse: 112.164
[381]	train's rmse: 55.3827	valid's rmse: 112.146
[382]	train's rmse: 55.3537	valid's rmse: 112.139
[383]	train's rmse: 55.3114	valid's rmse: 112.123
[384]	train's rmse: 55.2744	valid's rmse: 112.094
[385]	train's rmse: 55.1954	valid's rmse: 112.075
[386]	train's rmse: 55.0867	valid's rmse: 112.068
[387]	train's rmse: 55.0225	valid's rmse: 112.016
[388]	train's rmse: 54.9453	valid's rmse: 111.985
[389]	train's rmse: 54.8769	valid's rmse: 111.959
[390]	train's rmse: 54.8497	valid's rmse: 111.954
[391]	train's rmse: 54.7593	valid's rmse: 111.926
[392]	train's rmse: 54.6996	valid's rmse: 111.932
[393]	train's rmse: 54.6785	valid's rmse: 111.921
[394]	train's rmse: 54.6559	valid's rmse: 111.908
[395]	train's rmse: 54.599	valid's rmse: 111.878
[396]	train's rmse: 54.5586	valid's rmse: 111.861
[397]	train's rmse: 54.5156	valid's rmse: 111.836
[398]	train's rmse: 54.4671	valid's rmse: 111.808
[399]	train's rmse: 54.2616	valid's rmse: 111.797
[400]	train's rmse: 54.2326	valid's rmse: 111.781
[401]	train's rmse: 54.1934	valid's rmse: 111.765
[402]	train's rmse: 54.1697	valid's rmse: 111.756
[403]	train's rmse: 54.1242	valid's rmse: 111.75
[404]	train's rmse: 54.0511	valid's rmse: 111.702
[405]	train's rmse: 54.0032	valid's rmse: 111.704
[406]	train's rmse: 53.9787	valid's rmse: 111.685
[407]	train's rmse: 53.9632	valid's rmse: 111.68
[408]	train's rmse: 53.9392	valid's rmse: 111.671
[409]	train's rmse: 53.9221	valid's rmse: 111.663
[410]	train's rmse: 53.7689	valid's rmse: 111.66
[411]	train's rmse: 53.6752	valid's rmse: 111.636
[412]	train's rmse: 53.5712	valid's rmse: 111.598
[413]	train's rmse: 53.5021	valid's rmse: 111.545
[414]	train's rmse: 53.2951	valid's rmse: 111.483
[415]	train's rmse: 53.2515	valid's rmse: 111.433
[416]	train's rmse: 53.2128	valid's rmse: 111.427
[417]	train's rmse: 53.1772	valid's rmse: 111.409
[418]	train's rmse: 53.1619	valid's rmse: 111.401
[419]	train's rmse: 53.1275	valid's rmse: 111.373
[420]	train's rmse: 53.0873	valid's rmse: 111.34
[421]	train's rmse: 53.0475	valid's rmse: 111.338
[422]	train's rmse: 52.9959	valid's rmse: 111.324
[423]	train's rmse: 52.9613	valid's rmse: 111.307
[424]	train's rmse: 52.9126	valid's rmse: 111.278
[425]	train's rmse: 52.8401	valid's rmse: 111.228
[426]	train's rmse: 52.8014	valid's rmse: 111.204
[427]	train's rmse: 52.7679	valid's rmse: 111.177
[428]	train's rmse: 52.7009	valid's rmse: 111.09
[429]	train's rmse: 52.6454	valid's rmse: 111.067
[430]	train's rmse: 52.5527	valid's rmse: 110.936
[431]	train's rmse: 52.485	valid's rmse: 110.901
[432]	train's rmse: 52.406	valid's rmse: 110.862
[433]	train's rmse: 52.3667	valid's rmse: 110.838
[434]	train's rmse: 52.327	valid's rmse: 110.824
[435]	train's rmse: 52.2992	valid's rmse: 110.814
[436]	train's rmse: 52.2512	valid's rmse: 110.799
[437]	train's rmse: 52.1844	valid's rmse: 110.752
[438]	train's rmse: 52.1299	valid's rmse: 110.678
[439]	train's rmse: 52.0132	valid's rmse: 110.652
[440]	train's rmse: 51.9572	valid's rmse: 110.616
[441]	train's rmse: 51.9244	valid's rmse: 110.603
[442]	train's rmse: 51.8837	valid's rmse: 110.567
[443]	train's rmse: 51.8652	valid's rmse: 110.563
[444]	train's rmse: 51.8091	valid's rmse: 110.559
[445]	train's rmse: 51.6836	valid's rmse: 110.414
[446]	train's rmse: 51.6516	valid's rmse: 110.403
[447]	train's rmse: 51.6241	valid's rmse: 110.387
[448]	train's rmse: 51.6019	valid's rmse: 110.381
[449]	train's rmse: 51.5386	valid's rmse: 110.366
[450]	train's rmse: 51.488	valid's rmse: 110.351
[451]	train's rmse: 51.4455	valid's rmse: 110.321
[452]	train's rmse: 51.4217	valid's rmse: 110.326
[453]	train's rmse: 51.3548	valid's rmse: 110.314
[454]	train's rmse: 51.2823	valid's rmse: 110.29
[455]	train's rmse: 51.2341	valid's rmse: 110.261
[456]	train's rmse: 51.1884	valid's rmse: 110.218
[457]	train's rmse: 51.1471	valid's rmse: 110.197
[458]	train's rmse: 51.0492	valid's rmse: 110.13
[459]	train's rmse: 51.0215	valid's rmse: 110.113
[460]	train's rmse: 51.009	valid's rmse: 110.107
[461]	train's rmse: 50.9864	valid's rmse: 110.104
[462]	train's rmse: 50.9749	valid's rmse: 110.098
[463]	train's rmse: 50.9318	valid's rmse: 110.076
[464]	train's rmse: 50.8933	valid's rmse: 110.062
[465]	train's rmse: 50.8305	valid's rmse: 110.037
[466]	train's rmse: 50.7365	valid's rmse: 110.014
[467]	train's rmse: 50.66	valid's rmse: 109.95
[468]	train's rmse: 50.607	valid's rmse: 109.919
[469]	train's rmse: 50.5821	valid's rmse: 109.908
[470]	train's rmse: 50.5249	valid's rmse: 109.868
[471]	train's rmse: 50.4922	valid's rmse: 109.854
[472]	train's rmse: 50.4468	valid's rmse: 109.828
[473]	train's rmse: 50.3978	valid's rmse: 109.809
[474]	train's rmse: 50.3497	valid's rmse: 109.79
[475]	train's rmse: 50.3191	valid's rmse: 109.768
[476]	train's rmse: 50.292	valid's rmse: 109.758
[477]	train's rmse: 50.2499	valid's rmse: 109.744
[478]	train's rmse: 50.2091	valid's rmse: 109.722
[479]	train's rmse: 50.1883	valid's rmse: 109.713
[480]	train's rmse: 50.1475	valid's rmse: 109.699
[481]	train's rmse: 50.09	valid's rmse: 109.664
[482]	train's rmse: 50.0569	valid's rmse: 109.64
[483]	train's rmse: 50.0267	valid's rmse: 109.63
[484]	train's rmse: 49.9732	valid's rmse: 109.606
[485]	train's rmse: 49.9396	valid's rmse: 109.599
[486]	train's rmse: 49.8957	valid's rmse: 109.577
[487]	train's rmse: 49.8594	valid's rmse: 109.55
[488]	train's rmse: 49.7955	valid's rmse: 109.543
[489]	train's rmse: 49.7839	valid's rmse: 109.536
[490]	train's rmse: 49.7641	valid's rmse: 109.529
[491]	train's rmse: 49.7284	valid's rmse: 109.51
[492]	train's rmse: 49.6496	valid's rmse: 109.449
[493]	train's rmse: 49.5391	valid's rmse: 109.393
[494]	train's rmse: 49.5107	valid's rmse: 109.377
[495]	train's rmse: 49.4943	valid's rmse: 109.365
[496]	train's rmse: 49.4562	valid's rmse: 109.351
[497]	train's rmse: 49.4222	valid's rmse: 109.352
[498]	train's rmse: 49.3462	valid's rmse: 109.327
[499]	train's rmse: 49.2969	valid's rmse: 109.311
[500]	train's rmse: 49.2526	valid's rmse: 109.283
[501]	train's rmse: 49.2067	valid's rmse: 109.277
[502]	train's rmse: 49.1647	valid's rmse: 109.254
[503]	train's rmse: 49.1377	valid's rmse: 109.242
[504]	train's rmse: 49.1009	valid's rmse: 109.223
[505]	train's rmse: 49.0783	valid's rmse: 109.217
[506]	train's rmse: 49.0461	valid's rmse: 109.194
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[510]	train's rmse: 48.9397	valid's rmse: 109.143
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[512]	train's rmse: 48.8856	valid's rmse: 109.084
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[514]	train's rmse: 48.7461	valid's rmse: 109.052
[515]	train's rmse: 48.7401	valid's rmse: 109.05
[516]	train's rmse: 48.7092	valid's rmse: 109.037
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[518]	train's rmse: 48.6124	valid's rmse: 108.972
[519]	train's rmse: 48.5888	valid's rmse: 108.95
[520]	train's rmse: 48.5464	valid's rmse: 108.931
[521]	train's rmse: 48.5205	valid's rmse: 108.92
[522]	train's rmse: 48.4659	valid's rmse: 108.909
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[524]	train's rmse: 48.2458	valid's rmse: 108.788
[525]	train's rmse: 48.2169	valid's rmse: 108.78
[526]	train's rmse: 48.2052	valid's rmse: 108.777
[527]	train's rmse: 48.162	valid's rmse: 108.741
[528]	train's rmse: 48.1281	valid's rmse: 108.679
[529]	train's rmse: 48.1181	valid's rmse: 108.676
[530]	train's rmse: 48.0866	valid's rmse: 108.663
[531]	train's rmse: 48.0629	valid's rmse: 108.654
[532]	train's rmse: 48.0454	valid's rmse: 108.653
[533]	train's rmse: 48.0152	valid's rmse: 108.625
[534]	train's rmse: 47.9854	valid's rmse: 108.608
[535]	train's rmse: 47.964	valid's rmse: 108.598
[536]	train's rmse: 47.9444	valid's rmse: 108.588
[537]	train's rmse: 47.8906	valid's rmse: 108.562
[538]	train's rmse: 47.8559	valid's rmse: 108.547
[539]	train's rmse: 47.818	valid's rmse: 108.55
[540]	train's rmse: 47.7639	valid's rmse: 108.524
[541]	train's rmse: 47.732	valid's rmse: 108.503
[542]	train's rmse: 47.7127	valid's rmse: 108.494
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[544]	train's rmse: 47.6891	valid's rmse: 108.486
[545]	train's rmse: 47.6684	valid's rmse: 108.475
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[547]	train's rmse: 47.5396	valid's rmse: 108.506
[548]	train's rmse: 47.5116	valid's rmse: 108.493
[549]	train's rmse: 47.4768	valid's rmse: 108.479
[550]	train's rmse: 47.4595	valid's rmse: 108.469
[551]	train's rmse: 47.4252	valid's rmse: 108.454
[552]	train's rmse: 47.4031	valid's rmse: 108.447
[553]	train's rmse: 47.3756	valid's rmse: 108.439
[554]	train's rmse: 47.3573	valid's rmse: 108.435
[555]	train's rmse: 47.3404	valid's rmse: 108.431
[556]	train's rmse: 47.2027	valid's rmse: 108.44
[557]	train's rmse: 47.1789	valid's rmse: 108.418
[558]	train's rmse: 47.1438	valid's rmse: 108.394
[559]	train's rmse: 47.112	valid's rmse: 108.384
[560]	train's rmse: 47.0878	valid's rmse: 108.371
[561]	train's rmse: 47.0543	valid's rmse: 108.356
[562]	train's rmse: 47.0378	valid's rmse: 108.35
[563]	train's rmse: 47.0095	valid's rmse: 108.355
[564]	train's rmse: 47.0032	valid's rmse: 108.353
[565]	train's rmse: 46.9939	valid's rmse: 108.351
[566]	train's rmse: 46.9647	valid's rmse: 108.342
[567]	train's rmse: 46.9411	valid's rmse: 108.332
[568]	train's rmse: 46.898	valid's rmse: 108.333
[569]	train's rmse: 46.8823	valid's rmse: 108.328
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[573]	train's rmse: 46.6416	valid's rmse: 108.095
[574]	train's rmse: 46.6097	valid's rmse: 108.081
[575]	train's rmse: 46.5783	valid's rmse: 108.065
[576]	train's rmse: 46.4975	valid's rmse: 108.075
[577]	train's rmse: 46.4905	valid's rmse: 108.074
[578]	train's rmse: 46.4668	valid's rmse: 108.062
[579]	train's rmse: 46.4494	valid's rmse: 108.056
[580]	train's rmse: 46.4311	valid's rmse: 108.044
[581]	train's rmse: 46.3761	valid's rmse: 108.026
[582]	train's rmse: 46.356	valid's rmse: 108.022
[583]	train's rmse: 46.3405	valid's rmse: 108.022
[584]	train's rmse: 46.3202	valid's rmse: 108.01
[585]	train's rmse: 46.3068	valid's rmse: 108.006
[586]	train's rmse: 46.2705	valid's rmse: 107.995
[587]	train's rmse: 46.2235	valid's rmse: 108.008
[588]	train's rmse: 46.2025	valid's rmse: 107.999
[589]	train's rmse: 46.1838	valid's rmse: 107.986
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[592]	train's rmse: 46.0975	valid's rmse: 107.935
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[600]	train's rmse: 45.8226	valid's rmse: 107.716
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[619]	train's rmse: 45.3501	valid's rmse: 107.446
[620]	train's rmse: 45.3258	valid's rmse: 107.433
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[622]	train's rmse: 45.0905	valid's rmse: 107.395
[623]	train's rmse: 45.0404	valid's rmse: 107.374
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[625]	train's rmse: 44.9689	valid's rmse: 107.339
[626]	train's rmse: 44.9296	valid's rmse: 107.325
[627]	train's rmse: 44.9159	valid's rmse: 107.319
[628]	train's rmse: 44.8701	valid's rmse: 107.306
[629]	train's rmse: 44.8386	valid's rmse: 107.291
[630]	train's rmse: 44.8149	valid's rmse: 107.28
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[638]	train's rmse: 44.5849	valid's rmse: 107.222
[639]	train's rmse: 44.5661	valid's rmse: 107.213
[640]	train's rmse: 44.4311	valid's rmse: 107.164
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[642]	train's rmse: 44.3999	valid's rmse: 107.154
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[648]	train's rmse: 44.2429	valid's rmse: 107.096
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[650]	train's rmse: 44.1755	valid's rmse: 107.064
[651]	train's rmse: 44.121	valid's rmse: 107.066
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[661]	train's rmse: 43.8983	valid's rmse: 106.998
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[666]	train's rmse: 43.7812	valid's rmse: 106.879
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[668]	train's rmse: 43.7394	valid's rmse: 106.862
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[670]	train's rmse: 43.68	valid's rmse: 106.843
[671]	train's rmse: 43.6679	valid's rmse: 106.839
[672]	train's rmse: 43.6521	valid's rmse: 106.844
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[675]	train's rmse: 43.5442	valid's rmse: 106.812
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[679]	train's rmse: 43.4372	valid's rmse: 106.771
[680]	train's rmse: 43.4055	valid's rmse: 106.752
[681]	train's rmse: 43.3566	valid's rmse: 106.753
[682]	train's rmse: 43.3373	valid's rmse: 106.751
[683]	train's rmse: 43.3124	valid's rmse: 106.74
[684]	train's rmse: 43.3037	valid's rmse: 106.738
[685]	train's rmse: 43.2885	valid's rmse: 106.728
[686]	train's rmse: 43.2657	valid's rmse: 106.726
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[689]	train's rmse: 43.1545	valid's rmse: 106.684
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[724]	train's rmse: 42.1859	valid's rmse: 106.231
[725]	train's rmse: 42.1458	valid's rmse: 106.218
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[727]	train's rmse: 42.1086	valid's rmse: 106.204
[728]	train's rmse: 42.0821	valid's rmse: 106.189
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[740]	train's rmse: 41.6984	valid's rmse: 105.958
[741]	train's rmse: 41.68	valid's rmse: 105.946
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[743]	train's rmse: 41.6225	valid's rmse: 105.889
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[750]	train's rmse: 41.4043	valid's rmse: 105.856
[751]	train's rmse: 41.3867	valid's rmse: 105.848
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[754]	train's rmse: 41.3401	valid's rmse: 105.831
[755]	train's rmse: 41.2267	valid's rmse: 105.723
[756]	train's rmse: 41.1383	valid's rmse: 105.726
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[758]	train's rmse: 41.1034	valid's rmse: 105.696
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[763]	train's rmse: 41.0146	valid's rmse: 105.659
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[784]	train's rmse: 40.4872	valid's rmse: 105.392
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[802]	train's rmse: 40.1487	valid's rmse: 105.175
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[812]	train's rmse: 39.8971	valid's rmse: 105.097
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[814]	train's rmse: 39.862	valid's rmse: 105.086
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[816]	train's rmse: 39.7428	valid's rmse: 105.052
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[818]	train's rmse: 39.7195	valid's rmse: 105.045
[819]	train's rmse: 39.7072	valid's rmse: 105.041
[820]	train's rmse: 39.6274	valid's rmse: 105.044
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[822]	train's rmse: 39.5881	valid's rmse: 105.029
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[825]	train's rmse: 39.5362	valid's rmse: 105.006
[826]	train's rmse: 39.5249	valid's rmse: 105.001
[827]	train's rmse: 39.5115	valid's rmse: 104.994
[828]	train's rmse: 39.4635	valid's rmse: 105.01
[829]	train's rmse: 39.4361	valid's rmse: 105.004
[830]	train's rmse: 39.4232	valid's rmse: 104.993
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[832]	train's rmse: 39.4049	valid's rmse: 104.998
[833]	train's rmse: 39.3858	valid's rmse: 104.992
[834]	train's rmse: 39.369	valid's rmse: 104.984
[835]	train's rmse: 39.358	valid's rmse: 104.98
[836]	train's rmse: 39.3119	valid's rmse: 104.997
[837]	train's rmse: 39.2288	valid's rmse: 104.903
[838]	train's rmse: 39.2225	valid's rmse: 104.912
[839]	train's rmse: 39.216	valid's rmse: 104.911
[840]	train's rmse: 39.196	valid's rmse: 104.905
[841]	train's rmse: 39.1727	valid's rmse: 104.896
[842]	train's rmse: 39.153	valid's rmse: 104.882
[843]	train's rmse: 39.1352	valid's rmse: 104.874
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[845]	train's rmse: 39.016	valid's rmse: 104.832
[846]	train's rmse: 38.9969	valid's rmse: 104.827
[847]	train's rmse: 38.9731	valid's rmse: 104.817
[848]	train's rmse: 38.9035	valid's rmse: 104.817
[849]	train's rmse: 38.8854	valid's rmse: 104.805
[850]	train's rmse: 38.8612	valid's rmse: 104.801
[851]	train's rmse: 38.8415	valid's rmse: 104.797
[852]	train's rmse: 38.8305	valid's rmse: 104.791
[853]	train's rmse: 38.8035	valid's rmse: 104.781
[854]	train's rmse: 38.7884	valid's rmse: 104.777
[855]	train's rmse: 38.7821	valid's rmse: 104.776
[856]	train's rmse: 38.769	valid's rmse: 104.768
[857]	train's rmse: 38.7421	valid's rmse: 104.762
[858]	train's rmse: 38.7309	valid's rmse: 104.758
[859]	train's rmse: 38.7085	valid's rmse: 104.749
[860]	train's rmse: 38.6805	valid's rmse: 104.736
[861]	train's rmse: 38.6623	valid's rmse: 104.718
[862]	train's rmse: 38.6586	valid's rmse: 104.717
[863]	train's rmse: 38.6552	valid's rmse: 104.716
[864]	train's rmse: 38.6526	valid's rmse: 104.716
[865]	train's rmse: 38.6396	valid's rmse: 104.708
[866]	train's rmse: 38.6313	valid's rmse: 104.706
[867]	train's rmse: 38.6211	valid's rmse: 104.702
[868]	train's rmse: 38.6075	valid's rmse: 104.702
[869]	train's rmse: 38.5885	valid's rmse: 104.695
[870]	train's rmse: 38.558	valid's rmse: 104.689
[871]	train's rmse: 38.5451	valid's rmse: 104.686
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[873]	train's rmse: 38.5072	valid's rmse: 104.667
[874]	train's rmse: 38.4796	valid's rmse: 104.652
[875]	train's rmse: 38.4649	valid's rmse: 104.648
[876]	train's rmse: 38.4539	valid's rmse: 104.643
[877]	train's rmse: 38.4358	valid's rmse: 104.632
[878]	train's rmse: 38.4278	valid's rmse: 104.629
[879]	train's rmse: 38.417	valid's rmse: 104.614
[880]	train's rmse: 38.4103	valid's rmse: 104.614
[881]	train's rmse: 38.4012	valid's rmse: 104.614
[882]	train's rmse: 38.3884	valid's rmse: 104.608
[883]	train's rmse: 38.3565	valid's rmse: 104.604
[884]	train's rmse: 38.2912	valid's rmse: 104.61
[885]	train's rmse: 38.2748	valid's rmse: 104.605
[886]	train's rmse: 38.2493	valid's rmse: 104.592
[887]	train's rmse: 38.1978	valid's rmse: 104.601
[888]	train's rmse: 38.1936	valid's rmse: 104.599
[889]	train's rmse: 38.1864	valid's rmse: 104.596
[890]	train's rmse: 38.174	valid's rmse: 104.592
[891]	train's rmse: 38.1548	valid's rmse: 104.583
[892]	train's rmse: 38.0957	valid's rmse: 104.535
[893]	train's rmse: 38.0789	valid's rmse: 104.534
[894]	train's rmse: 38.0347	valid's rmse: 104.532
[895]	train's rmse: 37.9275	valid's rmse: 104.553
[896]	train's rmse: 37.9163	valid's rmse: 104.544
[897]	train's rmse: 37.8986	valid's rmse: 104.531
[898]	train's rmse: 37.8936	valid's rmse: 104.529
[899]	train's rmse: 37.8866	valid's rmse: 104.528
[900]	train's rmse: 37.8682	valid's rmse: 104.521
[901]	train's rmse: 37.8498	valid's rmse: 104.524
[902]	train's rmse: 37.8347	valid's rmse: 104.519
[903]	train's rmse: 37.8173	valid's rmse: 104.505
[904]	train's rmse: 37.7556	valid's rmse: 104.471
[905]	train's rmse: 37.7478	valid's rmse: 104.475
[906]	train's rmse: 37.7375	valid's rmse: 104.472
[907]	train's rmse: 37.7165	valid's rmse: 104.465
[908]	train's rmse: 37.7085	valid's rmse: 104.462
[909]	train's rmse: 37.7058	valid's rmse: 104.462
[910]	train's rmse: 37.6901	valid's rmse: 104.454
[911]	train's rmse: 37.594	valid's rmse: 104.414
[912]	train's rmse: 37.5581	valid's rmse: 104.398
[913]	train's rmse: 37.5395	valid's rmse: 104.388
[914]	train's rmse: 37.5345	valid's rmse: 104.388
[915]	train's rmse: 37.5105	valid's rmse: 104.38
[916]	train's rmse: 37.4804	valid's rmse: 104.37
[917]	train's rmse: 37.4576	valid's rmse: 104.376
[918]	train's rmse: 37.443	valid's rmse: 104.37
[919]	train's rmse: 37.4316	valid's rmse: 104.366
[920]	train's rmse: 37.4102	valid's rmse: 104.358
[921]	train's rmse: 37.3827	valid's rmse: 104.347
[922]	train's rmse: 37.3774	valid's rmse: 104.346
[923]	train's rmse: 37.3735	valid's rmse: 104.344
[924]	train's rmse: 37.36	valid's rmse: 104.341
[925]	train's rmse: 37.3481	valid's rmse: 104.337
[926]	train's rmse: 37.3315	valid's rmse: 104.333
[927]	train's rmse: 37.3254	valid's rmse: 104.331
[928]	train's rmse: 37.3205	valid's rmse: 104.331
[929]	train's rmse: 37.2976	valid's rmse: 104.335
[930]	train's rmse: 37.29	valid's rmse: 104.332
[931]	train's rmse: 37.2639	valid's rmse: 104.325
[932]	train's rmse: 37.2489	valid's rmse: 104.321
[933]	train's rmse: 37.2311	valid's rmse: 104.316
[934]	train's rmse: 37.2249	valid's rmse: 104.311
[935]	train's rmse: 37.1757	valid's rmse: 104.315
[936]	train's rmse: 37.1665	valid's rmse: 104.311
[937]	train's rmse: 37.1408	valid's rmse: 104.297
[938]	train's rmse: 37.1289	valid's rmse: 104.294
[939]	train's rmse: 37.1153	valid's rmse: 104.286
[940]	train's rmse: 37.1059	valid's rmse: 104.285
[941]	train's rmse: 37.0937	valid's rmse: 104.282
[942]	train's rmse: 37.077	valid's rmse: 104.276
[943]	train's rmse: 37.0681	valid's rmse: 104.272
[944]	train's rmse: 37.0547	valid's rmse: 104.264
[945]	train's rmse: 37.0473	valid's rmse: 104.262
[946]	train's rmse: 37.0248	valid's rmse: 104.257
[947]	train's rmse: 37.0153	valid's rmse: 104.253
[948]	train's rmse: 37.003	valid's rmse: 104.249
[949]	train's rmse: 36.9985	valid's rmse: 104.247
[950]	train's rmse: 36.9855	valid's rmse: 104.244
[951]	train's rmse: 36.972	valid's rmse: 104.237
[952]	train's rmse: 36.9672	valid's rmse: 104.233
[953]	train's rmse: 36.9545	valid's rmse: 104.231
[954]	train's rmse: 36.8568	valid's rmse: 104.203
[955]	train's rmse: 36.8303	valid's rmse: 104.181
[956]	train's rmse: 36.8136	valid's rmse: 104.177
[957]	train's rmse: 36.7816	valid's rmse: 104.157
[958]	train's rmse: 36.7535	valid's rmse: 104.145
[959]	train's rmse: 36.7504	valid's rmse: 104.144
[960]	train's rmse: 36.7454	valid's rmse: 104.144
[961]	train's rmse: 36.7298	valid's rmse: 104.139
[962]	train's rmse: 36.7157	valid's rmse: 104.131
[963]	train's rmse: 36.6733	valid's rmse: 104.049
[964]	train's rmse: 36.6641	valid's rmse: 104.047
[965]	train's rmse: 36.6533	valid's rmse: 104.05
[966]	train's rmse: 36.6359	valid's rmse: 104.027
[967]	train's rmse: 36.6323	valid's rmse: 104.026
[968]	train's rmse: 36.6204	valid's rmse: 104.028
[969]	train's rmse: 36.6103	valid's rmse: 104.026
[970]	train's rmse: 36.5857	valid's rmse: 104.027
[971]	train's rmse: 36.582	valid's rmse: 104.025
[972]	train's rmse: 36.5665	valid's rmse: 104.02
[973]	train's rmse: 36.5538	valid's rmse: 104.019
[974]	train's rmse: 36.5177	valid's rmse: 104.025
[975]	train's rmse: 36.4947	valid's rmse: 104.014
[976]	train's rmse: 36.4562	valid's rmse: 104.012
[977]	train's rmse: 36.4398	valid's rmse: 104.008
[978]	train's rmse: 36.4193	valid's rmse: 104.005
[979]	train's rmse: 36.4094	valid's rmse: 104.003
[980]	train's rmse: 36.4027	valid's rmse: 104
[981]	train's rmse: 36.3615	valid's rmse: 103.975
[982]	train's rmse: 36.3449	valid's rmse: 103.969
[983]	train's rmse: 36.3159	valid's rmse: 103.968
[984]	train's rmse: 36.287	valid's rmse: 103.963
[985]	train's rmse: 36.2754	valid's rmse: 103.958
[986]	train's rmse: 36.2683	valid's rmse: 103.957
[987]	train's rmse: 36.2655	valid's rmse: 103.956
[988]	train's rmse: 36.2497	valid's rmse: 103.94
[989]	train's rmse: 36.2404	valid's rmse: 103.936
[990]	train's rmse: 36.235	valid's rmse: 103.933
[991]	train's rmse: 36.2306	valid's rmse: 103.926
[992]	train's rmse: 36.1597	valid's rmse: 103.844
[993]	train's rmse: 36.1495	valid's rmse: 103.841
[994]	train's rmse: 36.1339	valid's rmse: 103.835
[995]	train's rmse: 36.1243	valid's rmse: 103.831
[996]	train's rmse: 36.0916	valid's rmse: 103.819
[997]	train's rmse: 36.0613	valid's rmse: 103.811
[998]	train's rmse: 36.0544	valid's rmse: 103.81
[999]	train's rmse: 36.0205	valid's rmse: 103.801
[1000]	train's rmse: 35.9999	valid's rmse: 103.791
[1001]	train's rmse: 35.9887	valid's rmse: 103.787
[1002]	train's rmse: 35.9752	valid's rmse: 103.779
[1003]	train's rmse: 35.9621	valid's rmse: 103.777
[1004]	train's rmse: 35.938	valid's rmse: 103.75
[1005]	train's rmse: 35.8815	valid's rmse: 103.734
[1006]	train's rmse: 35.8591	valid's rmse: 103.725
[1007]	train's rmse: 35.8282	valid's rmse: 103.721
[1008]	train's rmse: 35.8257	valid's rmse: 103.72
[1009]	train's rmse: 35.8144	valid's rmse: 103.714
[1010]	train's rmse: 35.8016	valid's rmse: 103.715
[1011]	train's rmse: 35.7882	valid's rmse: 103.711
[1012]	train's rmse: 35.7558	valid's rmse: 103.708
[1013]	train's rmse: 35.7439	valid's rmse: 103.708
[1014]	train's rmse: 35.7254	valid's rmse: 103.702
[1015]	train's rmse: 35.7155	valid's rmse: 103.693
[1016]	train's rmse: 35.6963	valid's rmse: 103.684
[1017]	train's rmse: 35.6826	valid's rmse: 103.679
[1018]	train's rmse: 35.6325	valid's rmse: 103.668
[1019]	train's rmse: 35.6173	valid's rmse: 103.664
[1020]	train's rmse: 35.5956	valid's rmse: 103.646
[1021]	train's rmse: 35.5868	valid's rmse: 103.644
[1022]	train's rmse: 35.5755	valid's rmse: 103.637
[1023]	train's rmse: 35.5617	valid's rmse: 103.635
[1024]	train's rmse: 35.5462	valid's rmse: 103.629
[1025]	train's rmse: 35.5365	valid's rmse: 103.625
[1026]	train's rmse: 35.5161	valid's rmse: 103.618
[1027]	train's rmse: 35.4839	valid's rmse: 103.622
[1028]	train's rmse: 35.4742	valid's rmse: 103.619
[1029]	train's rmse: 35.4591	valid's rmse: 103.619
[1030]	train's rmse: 35.4524	valid's rmse: 103.616
[1031]	train's rmse: 35.4412	valid's rmse: 103.602
[1032]	train's rmse: 35.4234	valid's rmse: 103.59
[1033]	train's rmse: 35.4192	valid's rmse: 103.588
[1034]	train's rmse: 35.4071	valid's rmse: 103.59
[1035]	train's rmse: 35.3646	valid's rmse: 103.585
[1036]	train's rmse: 35.3434	valid's rmse: 103.587
[1037]	train's rmse: 35.3266	valid's rmse: 103.569
[1038]	train's rmse: 35.3071	valid's rmse: 103.564
[1039]	train's rmse: 35.3002	valid's rmse: 103.562
[1040]	train's rmse: 35.2876	valid's rmse: 103.554
[1041]	train's rmse: 35.2828	valid's rmse: 103.552
[1042]	train's rmse: 35.2674	valid's rmse: 103.547
[1043]	train's rmse: 35.2236	valid's rmse: 103.533
[1044]	train's rmse: 35.2115	valid's rmse: 103.528
[1045]	train's rmse: 35.1906	valid's rmse: 103.517
[1046]	train's rmse: 35.1878	valid's rmse: 103.517
[1047]	train's rmse: 35.1826	valid's rmse: 103.516
[1048]	train's rmse: 35.1733	valid's rmse: 103.513
[1049]	train's rmse: 35.1643	valid's rmse: 103.51
[1050]	train's rmse: 35.1459	valid's rmse: 103.506
[1051]	train's rmse: 35.1382	valid's rmse: 103.507
[1052]	train's rmse: 35.1252	valid's rmse: 103.506
[1053]	train's rmse: 35.0725	valid's rmse: 103.512
[1054]	train's rmse: 35.0568	valid's rmse: 103.507
[1055]	train's rmse: 35.0451	valid's rmse: 103.506
[1056]	train's rmse: 35.038	valid's rmse: 103.504
[1057]	train's rmse: 35.0189	valid's rmse: 103.491
[1058]	train's rmse: 34.9997	valid's rmse: 103.483
[1059]	train's rmse: 34.9845	valid's rmse: 103.48
[1060]	train's rmse: 34.925	valid's rmse: 103.397
[1061]	train's rmse: 34.9033	valid's rmse: 103.388
[1062]	train's rmse: 34.873	valid's rmse: 103.387
[1063]	train's rmse: 34.8239	valid's rmse: 103.351
[1064]	train's rmse: 34.8191	valid's rmse: 103.349
[1065]	train's rmse: 34.8063	valid's rmse: 103.343
[1066]	train's rmse: 34.7943	valid's rmse: 103.34
[1067]	train's rmse: 34.7774	valid's rmse: 103.314
[1068]	train's rmse: 34.7347	valid's rmse: 103.307
[1069]	train's rmse: 34.7083	valid's rmse: 103.31
[1070]	train's rmse: 34.7008	valid's rmse: 103.309
[1071]	train's rmse: 34.6856	valid's rmse: 103.301
[1072]	train's rmse: 34.6649	valid's rmse: 103.292
[1073]	train's rmse: 34.6503	valid's rmse: 103.29
[1074]	train's rmse: 34.6303	valid's rmse: 103.282
[1075]	train's rmse: 34.6268	valid's rmse: 103.281
[1076]	train's rmse: 34.6213	valid's rmse: 103.278
[1077]	train's rmse: 34.6138	valid's rmse: 103.272
[1078]	train's rmse: 34.582	valid's rmse: 103.24
[1079]	train's rmse: 34.5534	valid's rmse: 103.226
[1080]	train's rmse: 34.5373	valid's rmse: 103.219
[1081]	train's rmse: 34.5237	valid's rmse: 103.212
[1082]	train's rmse: 34.5129	valid's rmse: 103.21
[1083]	train's rmse: 34.4793	valid's rmse: 103.216
[1084]	train's rmse: 34.4765	valid's rmse: 103.215
[1085]	train's rmse: 34.4453	valid's rmse: 103.167
[1086]	train's rmse: 34.4303	valid's rmse: 103.16
[1087]	train's rmse: 34.4226	valid's rmse: 103.158
[1088]	train's rmse: 34.4034	valid's rmse: 103.14
[1089]	train's rmse: 34.3732	valid's rmse: 103.125
[1090]	train's rmse: 34.358	valid's rmse: 103.123
[1091]	train's rmse: 34.3533	valid's rmse: 103.122
[1092]	train's rmse: 34.3422	valid's rmse: 103.117
[1093]	train's rmse: 34.3183	valid's rmse: 103.107
[1094]	train's rmse: 34.306	valid's rmse: 103.102
[1095]	train's rmse: 34.2903	valid's rmse: 103.098
[1096]	train's rmse: 34.2761	valid's rmse: 103.097
[1097]	train's rmse: 34.2143	valid's rmse: 103.105
[1098]	train's rmse: 34.1992	valid's rmse: 103.102
[1099]	train's rmse: 34.1824	valid's rmse: 103.105
[1100]	train's rmse: 34.1699	valid's rmse: 103.1
[1101]	train's rmse: 34.1374	valid's rmse: 103.033
[1102]	train's rmse: 34.1197	valid's rmse: 103.029
[1103]	train's rmse: 34.104	valid's rmse: 103.019
[1104]	train's rmse: 34.0939	valid's rmse: 103.017
[1105]	train's rmse: 34.0517	valid's rmse: 103.01
[1106]	train's rmse: 34.0449	valid's rmse: 103.01
[1107]	train's rmse: 34.0189	valid's rmse: 102.986
[1108]	train's rmse: 34.0079	valid's rmse: 102.984
[1109]	train's rmse: 33.9824	valid's rmse: 102.973
[1110]	train's rmse: 33.974	valid's rmse: 102.97
[1111]	train's rmse: 33.9598	valid's rmse: 102.962
[1112]	train's rmse: 33.9563	valid's rmse: 102.96
[1113]	train's rmse: 33.9335	valid's rmse: 102.949
[1114]	train's rmse: 33.9111	valid's rmse: 102.939
[1115]	train's rmse: 33.9086	valid's rmse: 102.939
[1116]	train's rmse: 33.9027	valid's rmse: 102.938
[1117]	train's rmse: 33.896	valid's rmse: 102.936
[1118]	train's rmse: 33.8845	valid's rmse: 102.933
[1119]	train's rmse: 33.8786	valid's rmse: 102.932
[1120]	train's rmse: 33.86	valid's rmse: 102.918
[1121]	train's rmse: 33.8507	valid's rmse: 102.915
[1122]	train's rmse: 33.8464	valid's rmse: 102.911
[1123]	train's rmse: 33.836	valid's rmse: 102.909
[1124]	train's rmse: 33.8242	valid's rmse: 102.903
[1125]	train's rmse: 33.8162	valid's rmse: 102.902
[1126]	train's rmse: 33.8067	valid's rmse: 102.896
[1127]	train's rmse: 33.7802	valid's rmse: 102.889
[1128]	train's rmse: 33.7568	valid's rmse: 102.887
[1129]	train's rmse: 33.7454	valid's rmse: 102.883
[1130]	train's rmse: 33.738	valid's rmse: 102.88
[1131]	train's rmse: 33.7206	valid's rmse: 102.875
[1132]	train's rmse: 33.6892	valid's rmse: 102.871
[1133]	train's rmse: 33.6792	valid's rmse: 102.868
[1134]	train's rmse: 33.6696	valid's rmse: 102.857
[1135]	train's rmse: 33.6632	valid's rmse: 102.857
[1136]	train's rmse: 33.6505	valid's rmse: 102.854
[1137]	train's rmse: 33.6477	valid's rmse: 102.853
[1138]	train's rmse: 33.6361	valid's rmse: 102.851
[1139]	train's rmse: 33.6251	valid's rmse: 102.847
[1140]	train's rmse: 33.6139	valid's rmse: 102.843
[1141]	train's rmse: 33.6049	valid's rmse: 102.842
[1142]	train's rmse: 33.5945	valid's rmse: 102.841
[1143]	train's rmse: 33.5811	valid's rmse: 102.837
[1144]	train's rmse: 33.57	valid's rmse: 102.833
[1145]	train's rmse: 33.5559	valid's rmse: 102.821
[1146]	train's rmse: 33.5462	valid's rmse: 102.817
[1147]	train's rmse: 33.513	valid's rmse: 102.811
[1148]	train's rmse: 33.4944	valid's rmse: 102.8
[1149]	train's rmse: 33.4807	valid's rmse: 102.796
[1150]	train's rmse: 33.4766	valid's rmse: 102.795
[1151]	train's rmse: 33.4557	valid's rmse: 102.789
[1152]	train's rmse: 33.3683	valid's rmse: 102.661
[1153]	train's rmse: 33.3482	valid's rmse: 102.657
[1154]	train's rmse: 33.3316	valid's rmse: 102.639
[1155]	train's rmse: 33.3207	valid's rmse: 102.637
[1156]	train's rmse: 33.3094	valid's rmse: 102.631
[1157]	train's rmse: 33.2822	valid's rmse: 102.626
[1158]	train's rmse: 33.2672	valid's rmse: 102.621
[1159]	train's rmse: 33.2562	valid's rmse: 102.619
[1160]	train's rmse: 33.245	valid's rmse: 102.616
[1161]	train's rmse: 33.2395	valid's rmse: 102.616
[1162]	train's rmse: 33.233	valid's rmse: 102.615
[1163]	train's rmse: 33.2196	valid's rmse: 102.61
[1164]	train's rmse: 33.2038	valid's rmse: 102.61
[1165]	train's rmse: 33.1566	valid's rmse: 102.618
[1166]	train's rmse: 33.1457	valid's rmse: 102.615
[1167]	train's rmse: 33.124	valid's rmse: 102.616
[1168]	train's rmse: 33.1064	valid's rmse: 102.608
[1169]	train's rmse: 33.0533	valid's rmse: 102.595
[1170]	train's rmse: 33.0344	valid's rmse: 102.594
[1171]	train's rmse: 33.0227	valid's rmse: 102.588
[1172]	train's rmse: 33.0094	valid's rmse: 102.583
[1173]	train's rmse: 33.0001	valid's rmse: 102.579
[1174]	train's rmse: 32.98	valid's rmse: 102.572
[1175]	train's rmse: 32.9591	valid's rmse: 102.566
[1176]	train's rmse: 32.9094	valid's rmse: 102.584
[1177]	train's rmse: 32.8874	valid's rmse: 102.574
[1178]	train's rmse: 32.8736	valid's rmse: 102.572
[1179]	train's rmse: 32.8461	valid's rmse: 102.557
[1180]	train's rmse: 32.8294	valid's rmse: 102.538
[1181]	train's rmse: 32.8135	valid's rmse: 102.532
[1182]	train's rmse: 32.7849	valid's rmse: 102.534
[1183]	train's rmse: 32.7719	valid's rmse: 102.535
[1184]	train's rmse: 32.7564	valid's rmse: 102.531
[1185]	train's rmse: 32.7328	valid's rmse: 102.53
[1186]	train's rmse: 32.7168	valid's rmse: 102.526
[1187]	train's rmse: 32.7092	valid's rmse: 102.524
[1188]	train's rmse: 32.7008	valid's rmse: 102.522
[1189]	train's rmse: 32.6972	valid's rmse: 102.521
[1190]	train's rmse: 32.655	valid's rmse: 102.531
[1191]	train's rmse: 32.6417	valid's rmse: 102.524
[1192]	train's rmse: 32.622	valid's rmse: 102.536
[1193]	train's rmse: 32.6125	valid's rmse: 102.534
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[1195]	train's rmse: 32.5783	valid's rmse: 102.532
[1196]	train's rmse: 32.555	valid's rmse: 102.527
[1197]	train's rmse: 32.5428	valid's rmse: 102.523
[1198]	train's rmse: 32.5295	valid's rmse: 102.506
[1199]	train's rmse: 32.5012	valid's rmse: 102.501
[1200]	train's rmse: 32.4937	valid's rmse: 102.497
[1201]	train's rmse: 32.4765	valid's rmse: 102.493
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[1203]	train's rmse: 32.4497	valid's rmse: 102.492
[1204]	train's rmse: 32.4424	valid's rmse: 102.489
[1205]	train's rmse: 32.4297	valid's rmse: 102.483
[1206]	train's rmse: 32.3993	valid's rmse: 102.474
[1207]	train's rmse: 32.3671	valid's rmse: 102.416
[1208]	train's rmse: 32.3587	valid's rmse: 102.414
[1209]	train's rmse: 32.3457	valid's rmse: 102.411
[1210]	train's rmse: 32.323	valid's rmse: 102.402
[1211]	train's rmse: 32.3124	valid's rmse: 102.397
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[1213]	train's rmse: 32.2706	valid's rmse: 102.391
[1214]	train's rmse: 32.2646	valid's rmse: 102.389
[1215]	train's rmse: 32.2552	valid's rmse: 102.387
[1216]	train's rmse: 32.2385	valid's rmse: 102.383
[1217]	train's rmse: 32.2269	valid's rmse: 102.383
[1218]	train's rmse: 32.2157	valid's rmse: 102.379
[1219]	train's rmse: 32.1954	valid's rmse: 102.367
[1220]	train's rmse: 32.1871	valid's rmse: 102.366
[1221]	train's rmse: 32.1771	valid's rmse: 102.362
[1222]	train's rmse: 32.1628	valid's rmse: 102.355
[1223]	train's rmse: 32.158	valid's rmse: 102.353
[1224]	train's rmse: 32.1518	valid's rmse: 102.353
[1225]	train's rmse: 32.1396	valid's rmse: 102.346
[1226]	train's rmse: 32.1295	valid's rmse: 102.34
[1227]	train's rmse: 32.1212	valid's rmse: 102.338
[1228]	train's rmse: 32.1093	valid's rmse: 102.333
[1229]	train's rmse: 32.095	valid's rmse: 102.326
[1230]	train's rmse: 32.0856	valid's rmse: 102.325
[1231]	train's rmse: 32.058	valid's rmse: 102.299
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[1233]	train's rmse: 32.0362	valid's rmse: 102.292
[1234]	train's rmse: 32.006	valid's rmse: 102.283
[1235]	train's rmse: 31.9961	valid's rmse: 102.28
[1236]	train's rmse: 31.9884	valid's rmse: 102.278
[1237]	train's rmse: 31.9319	valid's rmse: 102.275
[1238]	train's rmse: 31.9196	valid's rmse: 102.281
[1239]	train's rmse: 31.9118	valid's rmse: 102.279
[1240]	train's rmse: 31.8939	valid's rmse: 102.257
[1241]	train's rmse: 31.8843	valid's rmse: 102.256
[1242]	train's rmse: 31.8804	valid's rmse: 102.254
[1243]	train's rmse: 31.8724	valid's rmse: 102.251
[1244]	train's rmse: 31.8416	valid's rmse: 102.247
[1245]	train's rmse: 31.8362	valid's rmse: 102.246
[1246]	train's rmse: 31.8221	valid's rmse: 102.237
[1247]	train's rmse: 31.8073	valid's rmse: 102.234
[1248]	train's rmse: 31.7872	valid's rmse: 102.23
[1249]	train's rmse: 31.7749	valid's rmse: 102.226
[1250]	train's rmse: 31.7655	valid's rmse: 102.223
[1251]	train's rmse: 31.7593	valid's rmse: 102.222
[1252]	train's rmse: 31.7469	valid's rmse: 102.22
[1253]	train's rmse: 31.7345	valid's rmse: 102.215
[1254]	train's rmse: 31.7219	valid's rmse: 102.212
[1255]	train's rmse: 31.7069	valid's rmse: 102.208
[1256]	train's rmse: 31.6966	valid's rmse: 102.202
[1257]	train's rmse: 31.69	valid's rmse: 102.204
[1258]	train's rmse: 31.6648	valid's rmse: 102.198
[1259]	train's rmse: 31.6348	valid's rmse: 102.173
[1260]	train's rmse: 31.622	valid's rmse: 102.169
[1261]	train's rmse: 31.6143	valid's rmse: 102.167
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[1264]	train's rmse: 31.5911	valid's rmse: 102.159
[1265]	train's rmse: 31.579	valid's rmse: 102.155
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[1268]	train's rmse: 31.5618	valid's rmse: 102.153
[1269]	train's rmse: 31.5559	valid's rmse: 102.151
[1270]	train's rmse: 31.5493	valid's rmse: 102.15
[1271]	train's rmse: 31.5458	valid's rmse: 102.15
[1272]	train's rmse: 31.5369	valid's rmse: 102.147
[1273]	train's rmse: 31.5272	valid's rmse: 102.139
[1274]	train's rmse: 31.5176	valid's rmse: 102.131
[1275]	train's rmse: 31.5092	valid's rmse: 102.13
[1276]	train's rmse: 31.4888	valid's rmse: 102.125
[1277]	train's rmse: 31.482	valid's rmse: 102.123
[1278]	train's rmse: 31.4724	valid's rmse: 102.122
[1279]	train's rmse: 31.4575	valid's rmse: 102.116
[1280]	train's rmse: 31.4518	valid's rmse: 102.119
[1281]	train's rmse: 31.4384	valid's rmse: 102.115
[1282]	train's rmse: 31.4305	valid's rmse: 102.113
[1283]	train's rmse: 31.4132	valid's rmse: 102.106
[1284]	train's rmse: 31.4012	valid's rmse: 102.099
[1285]	train's rmse: 31.3978	valid's rmse: 102.099
[1286]	train's rmse: 31.3952	valid's rmse: 102.098
[1287]	train's rmse: 31.3873	valid's rmse: 102.097
[1288]	train's rmse: 31.3776	valid's rmse: 102.095
[1289]	train's rmse: 31.3663	valid's rmse: 102.093
[1290]	train's rmse: 31.3599	valid's rmse: 102.09
[1291]	train's rmse: 31.3533	valid's rmse: 102.091
[1292]	train's rmse: 31.3472	valid's rmse: 102.088
[1293]	train's rmse: 31.3359	valid's rmse: 102.084
[1294]	train's rmse: 31.3204	valid's rmse: 102.079
[1295]	train's rmse: 31.309	valid's rmse: 102.076
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[1297]	train's rmse: 31.272	valid's rmse: 102.039
[1298]	train's rmse: 31.2615	valid's rmse: 102.037
[1299]	train's rmse: 31.2487	valid's rmse: 102.034
[1300]	train's rmse: 31.2372	valid's rmse: 102.029
[1301]	train's rmse: 31.2013	valid's rmse: 102.034
[1302]	train's rmse: 31.1949	valid's rmse: 102.033
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[1306]	train's rmse: 31.1599	valid's rmse: 102.027
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[1311]	train's rmse: 31.102	valid's rmse: 102.003
[1312]	train's rmse: 31.093	valid's rmse: 102.002
[1313]	train's rmse: 31.0833	valid's rmse: 101.999
[1314]	train's rmse: 31.0659	valid's rmse: 101.994
[1315]	train's rmse: 30.9925	valid's rmse: 101.975
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[1318]	train's rmse: 30.9715	valid's rmse: 101.964
[1319]	train's rmse: 30.9452	valid's rmse: 101.946
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[1321]	train's rmse: 30.9361	valid's rmse: 101.945
[1322]	train's rmse: 30.9234	valid's rmse: 101.942
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[1324]	train's rmse: 30.907	valid's rmse: 101.937
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[1326]	train's rmse: 30.8801	valid's rmse: 101.886
[1327]	train's rmse: 30.8757	valid's rmse: 101.886
[1328]	train's rmse: 30.8594	valid's rmse: 101.876
[1329]	train's rmse: 30.8508	valid's rmse: 101.875
[1330]	train's rmse: 30.8248	valid's rmse: 101.883
[1331]	train's rmse: 30.8117	valid's rmse: 101.873
[1332]	train's rmse: 30.7962	valid's rmse: 101.866
[1333]	train's rmse: 30.7877	valid's rmse: 101.861
[1334]	train's rmse: 30.77	valid's rmse: 101.856
[1335]	train's rmse: 30.7493	valid's rmse: 101.852
[1336]	train's rmse: 30.7349	valid's rmse: 101.849
[1337]	train's rmse: 30.7204	valid's rmse: 101.845
[1338]	train's rmse: 30.7119	valid's rmse: 101.842
[1339]	train's rmse: 30.7031	valid's rmse: 101.84
[1340]	train's rmse: 30.6965	valid's rmse: 101.837
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[1342]	train's rmse: 30.6457	valid's rmse: 101.797
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[1344]	train's rmse: 30.6373	valid's rmse: 101.796
[1345]	train's rmse: 30.6283	valid's rmse: 101.793
[1346]	train's rmse: 30.6205	valid's rmse: 101.792
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[1350]	train's rmse: 30.5709	valid's rmse: 101.774
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[1354]	train's rmse: 30.5261	valid's rmse: 101.758
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[1356]	train's rmse: 30.5058	valid's rmse: 101.754
[1357]	train's rmse: 30.4874	valid's rmse: 101.748
[1358]	train's rmse: 30.4733	valid's rmse: 101.744
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[1367]	train's rmse: 30.3926	valid's rmse: 101.715
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[1376]	train's rmse: 30.3371	valid's rmse: 101.698
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[1378]	train's rmse: 30.3207	valid's rmse: 101.691
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[1380]	train's rmse: 30.2777	valid's rmse: 101.687
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[1388]	train's rmse: 30.219	valid's rmse: 101.665
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[1406]	train's rmse: 30.0732	valid's rmse: 101.64
[1407]	train's rmse: 30.063	valid's rmse: 101.636
[1408]	train's rmse: 30.0528	valid's rmse: 101.633
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[1411]	train's rmse: 30.0231	valid's rmse: 101.623
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[1413]	train's rmse: 29.9939	valid's rmse: 101.618
[1414]	train's rmse: 29.9875	valid's rmse: 101.615
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[1428]	train's rmse: 29.8318	valid's rmse: 101.527
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[1480]	train's rmse: 29.1551	valid's rmse: 101.347
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[1483]	train's rmse: 29.1024	valid's rmse: 101.296
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[1493]	train's rmse: 29.0083	valid's rmse: 101.271
[1494]	train's rmse: 28.9969	valid's rmse: 101.267
[1495]	train's rmse: 28.9921	valid's rmse: 101.267
[1496]	train's rmse: 28.9835	valid's rmse: 101.265
[1497]	train's rmse: 28.9647	valid's rmse: 101.256
[1498]	train's rmse: 28.9554	valid's rmse: 101.251
[1499]	train's rmse: 28.9509	valid's rmse: 101.25
[1500]	train's rmse: 28.9439	valid's rmse: 101.243
[1501]	train's rmse: 28.9335	valid's rmse: 101.239
[1502]	train's rmse: 28.9169	valid's rmse: 101.226
[1503]	train's rmse: 28.9124	valid's rmse: 101.227
[1504]	train's rmse: 28.9067	valid's rmse: 101.225
[1505]	train's rmse: 28.8981	valid's rmse: 101.223
[1506]	train's rmse: 28.8844	valid's rmse: 101.215
[1507]	train's rmse: 28.871	valid's rmse: 101.21
[1508]	train's rmse: 28.8596	valid's rmse: 101.208
[1509]	train's rmse: 28.8486	valid's rmse: 101.207
[1510]	train's rmse: 28.8347	valid's rmse: 101.204
[1511]	train's rmse: 28.8251	valid's rmse: 101.201
[1512]	train's rmse: 28.8179	valid's rmse: 101.199
[1513]	train's rmse: 28.8072	valid's rmse: 101.196
[1514]	train's rmse: 28.8049	valid's rmse: 101.196
[1515]	train's rmse: 28.8001	valid's rmse: 101.194
[1516]	train's rmse: 28.7902	valid's rmse: 101.192
[1517]	train's rmse: 28.7863	valid's rmse: 101.192
[1518]	train's rmse: 28.7816	valid's rmse: 101.192
[1519]	train's rmse: 28.7777	valid's rmse: 101.191
[1520]	train's rmse: 28.7731	valid's rmse: 101.19
[1521]	train's rmse: 28.7714	valid's rmse: 101.189
[1522]	train's rmse: 28.7683	valid's rmse: 101.189
[1523]	train's rmse: 28.7591	valid's rmse: 101.187
[1524]	train's rmse: 28.7491	valid's rmse: 101.177
[1525]	train's rmse: 28.7472	valid's rmse: 101.176
[1526]	train's rmse: 28.7425	valid's rmse: 101.175
[1527]	train's rmse: 28.7388	valid's rmse: 101.174
[1528]	train's rmse: 28.7279	valid's rmse: 101.171
[1529]	train's rmse: 28.7185	valid's rmse: 101.166
[1530]	train's rmse: 28.7104	valid's rmse: 101.164
[1531]	train's rmse: 28.6945	valid's rmse: 101.16
[1532]	train's rmse: 28.6897	valid's rmse: 101.159
[1533]	train's rmse: 28.6703	valid's rmse: 101.157
[1534]	train's rmse: 28.6644	valid's rmse: 101.155
[1535]	train's rmse: 28.6554	valid's rmse: 101.154
[1536]	train's rmse: 28.6523	valid's rmse: 101.153
[1537]	train's rmse: 28.6457	valid's rmse: 101.151
[1538]	train's rmse: 28.6418	valid's rmse: 101.15
[1539]	train's rmse: 28.637	valid's rmse: 101.148
[1540]	train's rmse: 28.6231	valid's rmse: 101.141
[1541]	train's rmse: 28.6122	valid's rmse: 101.136
[1542]	train's rmse: 28.604	valid's rmse: 101.134
[1543]	train's rmse: 28.599	valid's rmse: 101.132
[1544]	train's rmse: 28.5884	valid's rmse: 101.13
[1545]	train's rmse: 28.5822	valid's rmse: 101.129
[1546]	train's rmse: 28.559	valid's rmse: 101.105
[1547]	train's rmse: 28.5531	valid's rmse: 101.101
[1548]	train's rmse: 28.5513	valid's rmse: 101.101
[1549]	train's rmse: 28.5492	valid's rmse: 101.099
[1550]	train's rmse: 28.5395	valid's rmse: 101.097
[1551]	train's rmse: 28.5332	valid's rmse: 101.096
[1552]	train's rmse: 28.5276	valid's rmse: 101.095
[1553]	train's rmse: 28.5181	valid's rmse: 101.094
[1554]	train's rmse: 28.5097	valid's rmse: 101.092
[1555]	train's rmse: 28.4822	valid's rmse: 101.083
[1556]	train's rmse: 28.469	valid's rmse: 101.085
[1557]	train's rmse: 28.4512	valid's rmse: 101.088
[1558]	train's rmse: 28.4443	valid's rmse: 101.086
[1559]	train's rmse: 28.4272	valid's rmse: 101.084
[1560]	train's rmse: 28.4147	valid's rmse: 101.08
[1561]	train's rmse: 28.4042	valid's rmse: 101.077
[1562]	train's rmse: 28.3951	valid's rmse: 101.074
[1563]	train's rmse: 28.3839	valid's rmse: 101.072
[1564]	train's rmse: 28.3573	valid's rmse: 101.061
[1565]	train's rmse: 28.3395	valid's rmse: 101.051
[1566]	train's rmse: 28.334	valid's rmse: 101.046
[1567]	train's rmse: 28.325	valid's rmse: 101.041
[1568]	train's rmse: 28.3123	valid's rmse: 101.013
[1569]	train's rmse: 28.3014	valid's rmse: 101.011
[1570]	train's rmse: 28.2931	valid's rmse: 101.007
[1571]	train's rmse: 28.2845	valid's rmse: 101.003
[1572]	train's rmse: 28.2786	valid's rmse: 101.001
[1573]	train's rmse: 28.2664	valid's rmse: 100.999
[1574]	train's rmse: 28.2616	valid's rmse: 100.997
[1575]	train's rmse: 28.2401	valid's rmse: 100.989
[1576]	train's rmse: 28.221	valid's rmse: 100.976
[1577]	train's rmse: 28.211	valid's rmse: 100.967
[1578]	train's rmse: 28.2009	valid's rmse: 100.979
[1579]	train's rmse: 28.193	valid's rmse: 100.978
[1580]	train's rmse: 28.1849	valid's rmse: 100.975
[1581]	train's rmse: 28.1791	valid's rmse: 100.973
[1582]	train's rmse: 28.1734	valid's rmse: 100.971
[1583]	train's rmse: 28.1671	valid's rmse: 100.969
[1584]	train's rmse: 28.1602	valid's rmse: 100.967
[1585]	train's rmse: 28.159	valid's rmse: 100.967
[1586]	train's rmse: 28.1333	valid's rmse: 100.923
[1587]	train's rmse: 28.1239	valid's rmse: 100.921
[1588]	train's rmse: 28.1168	valid's rmse: 100.921
[1589]	train's rmse: 28.1065	valid's rmse: 100.913
[1590]	train's rmse: 28.094	valid's rmse: 100.912
[1591]	train's rmse: 28.0875	valid's rmse: 100.912
[1592]	train's rmse: 28.0827	valid's rmse: 100.91
[1593]	train's rmse: 28.0783	valid's rmse: 100.909
[1594]	train's rmse: 28.069	valid's rmse: 100.908
[1595]	train's rmse: 28.065	valid's rmse: 100.907
[1596]	train's rmse: 28.0598	valid's rmse: 100.906
[1597]	train's rmse: 28.0503	valid's rmse: 100.903
[1598]	train's rmse: 28.0435	valid's rmse: 100.904
[1599]	train's rmse: 28.0353	valid's rmse: 100.903
[1600]	train's rmse: 28.0251	valid's rmse: 100.899
[1601]	train's rmse: 28.0204	valid's rmse: 100.899
[1602]	train's rmse: 28.0192	valid's rmse: 100.899
[1603]	train's rmse: 28.0126	valid's rmse: 100.896
[1604]	train's rmse: 28.0065	valid's rmse: 100.896
[1605]	train's rmse: 27.9903	valid's rmse: 100.906
[1606]	train's rmse: 27.9719	valid's rmse: 100.907
[1607]	train's rmse: 27.9434	valid's rmse: 100.907
[1608]	train's rmse: 27.9411	valid's rmse: 100.906
[1609]	train's rmse: 27.9396	valid's rmse: 100.906
[1610]	train's rmse: 27.9078	valid's rmse: 100.91
[1611]	train's rmse: 27.9	valid's rmse: 100.914
[1612]	train's rmse: 27.8917	valid's rmse: 100.911
[1613]	train's rmse: 27.8879	valid's rmse: 100.911
[1614]	train's rmse: 27.8758	valid's rmse: 100.907
Early stopping, best iteration is:
[1604]	train's rmse: 28.0065	valid's rmse: 100.896
Fold : 3
[1]	train's rmse: 297.667	valid's rmse: 298.135
Training until validation scores don't improve for 10 rounds.
[2]	train's rmse: 282.507	valid's rmse: 283.244
[3]	train's rmse: 268.56	valid's rmse: 269.606
[4]	train's rmse: 256.737	valid's rmse: 258.08
[5]	train's rmse: 246.007	valid's rmse: 247.74
[6]	train's rmse: 236.517	valid's rmse: 238.986
[7]	train's rmse: 228.187	valid's rmse: 231.406
[8]	train's rmse: 219.924	valid's rmse: 223.97
[9]	train's rmse: 213.249	valid's rmse: 217.716
[10]	train's rmse: 207.246	valid's rmse: 212.188
[11]	train's rmse: 200.917	valid's rmse: 205.831
[12]	train's rmse: 195.871	valid's rmse: 201.871
[13]	train's rmse: 190.566	valid's rmse: 198.108
[14]	train's rmse: 186.792	valid's rmse: 194.793
[15]	train's rmse: 182.645	valid's rmse: 190.795
[16]	train's rmse: 178.468	valid's rmse: 187.645
[17]	train's rmse: 175.003	valid's rmse: 184.458
[18]	train's rmse: 172.429	valid's rmse: 182.242
[19]	train's rmse: 169.851	valid's rmse: 180.691
[20]	train's rmse: 167.188	valid's rmse: 178.386
[21]	train's rmse: 164.252	valid's rmse: 176.578
[22]	train's rmse: 161.873	valid's rmse: 174.867
[23]	train's rmse: 159.274	valid's rmse: 173.531
[24]	train's rmse: 156.713	valid's rmse: 171.755
[25]	train's rmse: 154.403	valid's rmse: 169.692
[26]	train's rmse: 152.336	valid's rmse: 167.697
[27]	train's rmse: 150.252	valid's rmse: 166.407
[28]	train's rmse: 148.76	valid's rmse: 165.129
[29]	train's rmse: 146.856	valid's rmse: 163.296
[30]	train's rmse: 145.38	valid's rmse: 162.145
[31]	train's rmse: 143.556	valid's rmse: 160.571
[32]	train's rmse: 142.434	valid's rmse: 159.597
[33]	train's rmse: 140.98	valid's rmse: 158.946
[34]	train's rmse: 139.156	valid's rmse: 157.814
[35]	train's rmse: 138.109	valid's rmse: 156.914
[36]	train's rmse: 136.734	valid's rmse: 155.805
[37]	train's rmse: 135.787	valid's rmse: 154.758
[38]	train's rmse: 134.677	valid's rmse: 153.8
[39]	train's rmse: 133.646	valid's rmse: 153.037
[40]	train's rmse: 132.208	valid's rmse: 151.746
[41]	train's rmse: 131.184	valid's rmse: 150.713
[42]	train's rmse: 129.725	valid's rmse: 149.565
[43]	train's rmse: 128.846	valid's rmse: 148.81
[44]	train's rmse: 128.014	valid's rmse: 148.217
[45]	train's rmse: 127.267	valid's rmse: 147.574
[46]	train's rmse: 126.055	valid's rmse: 146.477
[47]	train's rmse: 125.122	valid's rmse: 145.829
[48]	train's rmse: 124.683	valid's rmse: 145.483
[49]	train's rmse: 124.108	valid's rmse: 145.167
[50]	train's rmse: 122.776	valid's rmse: 144.365
[51]	train's rmse: 122.081	valid's rmse: 143.927
[52]	train's rmse: 121.402	valid's rmse: 143.213
[53]	train's rmse: 120.727	valid's rmse: 142.681
[54]	train's rmse: 120.071	valid's rmse: 142.172
[55]	train's rmse: 119.222	valid's rmse: 141.577
[56]	train's rmse: 118.385	valid's rmse: 140.841
[57]	train's rmse: 117.459	valid's rmse: 139.921
[58]	train's rmse: 116.863	valid's rmse: 139.564
[59]	train's rmse: 116.235	valid's rmse: 139.013
[60]	train's rmse: 115.451	valid's rmse: 138.564
[61]	train's rmse: 114.883	valid's rmse: 137.941
[62]	train's rmse: 114.17	valid's rmse: 137.579
[63]	train's rmse: 113.898	valid's rmse: 137.345
[64]	train's rmse: 113.004	valid's rmse: 136.508
[65]	train's rmse: 112.666	valid's rmse: 136.268
[66]	train's rmse: 112.205	valid's rmse: 135.909
[67]	train's rmse: 111.749	valid's rmse: 135.414
[68]	train's rmse: 111.241	valid's rmse: 134.944
[69]	train's rmse: 110.701	valid's rmse: 134.452
[70]	train's rmse: 109.98	valid's rmse: 134.012
[71]	train's rmse: 109.571	valid's rmse: 133.546
[72]	train's rmse: 109.198	valid's rmse: 133.152
[73]	train's rmse: 108.586	valid's rmse: 132.662
[74]	train's rmse: 107.946	valid's rmse: 132.109
[75]	train's rmse: 107.433	valid's rmse: 131.754
[76]	train's rmse: 107.011	valid's rmse: 131.299
[77]	train's rmse: 106.732	valid's rmse: 131.03
[78]	train's rmse: 106.291	valid's rmse: 130.708
[79]	train's rmse: 105.533	valid's rmse: 130.154
[80]	train's rmse: 105.241	valid's rmse: 129.917
[81]	train's rmse: 104.856	valid's rmse: 129.575
[82]	train's rmse: 104.243	valid's rmse: 129.202
[83]	train's rmse: 103.769	valid's rmse: 128.742
[84]	train's rmse: 103.515	valid's rmse: 128.507
[85]	train's rmse: 103.185	valid's rmse: 128.28
[86]	train's rmse: 102.814	valid's rmse: 127.916
[87]	train's rmse: 102.289	valid's rmse: 127.498
[88]	train's rmse: 101.853	valid's rmse: 127.12
[89]	train's rmse: 101.324	valid's rmse: 126.801
[90]	train's rmse: 100.934	valid's rmse: 126.511
[91]	train's rmse: 100.673	valid's rmse: 126.331
[92]	train's rmse: 99.8945	valid's rmse: 125.629
[93]	train's rmse: 99.1647	valid's rmse: 125.08
[94]	train's rmse: 98.812	valid's rmse: 124.773
[95]	train's rmse: 98.4911	valid's rmse: 124.442
[96]	train's rmse: 98.2793	valid's rmse: 124.324
[97]	train's rmse: 98.0607	valid's rmse: 124.141
[98]	train's rmse: 97.8726	valid's rmse: 124.035
[99]	train's rmse: 97.4055	valid's rmse: 123.64
[100]	train's rmse: 97.187	valid's rmse: 123.465
[101]	train's rmse: 96.8525	valid's rmse: 123.175
[102]	train's rmse: 96.4258	valid's rmse: 122.96
[103]	train's rmse: 96.1757	valid's rmse: 122.735
[104]	train's rmse: 95.7191	valid's rmse: 122.197
[105]	train's rmse: 95.2465	valid's rmse: 121.868
[106]	train's rmse: 95.0437	valid's rmse: 121.666
[107]	train's rmse: 94.8743	valid's rmse: 121.508
[108]	train's rmse: 94.6816	valid's rmse: 121.334
[109]	train's rmse: 94.4036	valid's rmse: 121.19
[110]	train's rmse: 94.1409	valid's rmse: 120.94
[111]	train's rmse: 93.6365	valid's rmse: 120.787
[112]	train's rmse: 93.3299	valid's rmse: 120.508
[113]	train's rmse: 93.0007	valid's rmse: 120.291
[114]	train's rmse: 92.6053	valid's rmse: 119.87
[115]	train's rmse: 92.219	valid's rmse: 119.596
[116]	train's rmse: 91.6483	valid's rmse: 119.089
[117]	train's rmse: 91.3013	valid's rmse: 118.755
[118]	train's rmse: 91.1254	valid's rmse: 118.59
[119]	train's rmse: 91.0092	valid's rmse: 118.495
[120]	train's rmse: 90.6206	valid's rmse: 118.25
[121]	train's rmse: 90.45	valid's rmse: 118.124
[122]	train's rmse: 89.9473	valid's rmse: 117.821
[123]	train's rmse: 89.5249	valid's rmse: 117.479
[124]	train's rmse: 89.2878	valid's rmse: 117.197
[125]	train's rmse: 89.024	valid's rmse: 116.955
[126]	train's rmse: 88.5418	valid's rmse: 116.783
[127]	train's rmse: 88.368	valid's rmse: 116.664
[128]	train's rmse: 88.0356	valid's rmse: 116.234
[129]	train's rmse: 87.5836	valid's rmse: 115.872
[130]	train's rmse: 87.4022	valid's rmse: 115.724
[131]	train's rmse: 87.2076	valid's rmse: 115.56
[132]	train's rmse: 87.05	valid's rmse: 115.45
[133]	train's rmse: 86.7935	valid's rmse: 115.314
[134]	train's rmse: 86.5032	valid's rmse: 114.999
[135]	train's rmse: 86.3606	valid's rmse: 114.91
[136]	train's rmse: 85.8481	valid's rmse: 114.695
[137]	train's rmse: 85.7312	valid's rmse: 114.586
[138]	train's rmse: 85.5371	valid's rmse: 114.42
[139]	train's rmse: 85.4205	valid's rmse: 114.329
[140]	train's rmse: 85.0876	valid's rmse: 114.123
[141]	train's rmse: 84.8856	valid's rmse: 113.925
[142]	train's rmse: 84.5532	valid's rmse: 113.671
[143]	train's rmse: 84.2298	valid's rmse: 113.37
[144]	train's rmse: 84.0539	valid's rmse: 113.232
[145]	train's rmse: 83.6184	valid's rmse: 112.981
[146]	train's rmse: 83.4425	valid's rmse: 112.865
[147]	train's rmse: 83.2025	valid's rmse: 112.667
[148]	train's rmse: 83.0215	valid's rmse: 112.514
[149]	train's rmse: 82.8964	valid's rmse: 112.432
[150]	train's rmse: 82.6131	valid's rmse: 112.238
[151]	train's rmse: 82.2302	valid's rmse: 111.994
[152]	train's rmse: 82.0971	valid's rmse: 111.9
[153]	train's rmse: 81.9643	valid's rmse: 111.837
[154]	train's rmse: 81.6418	valid's rmse: 111.721
[155]	train's rmse: 81.4897	valid's rmse: 111.586
[156]	train's rmse: 81.28	valid's rmse: 111.593
[157]	train's rmse: 81.1391	valid's rmse: 111.506
[158]	train's rmse: 80.983	valid's rmse: 111.345
[159]	train's rmse: 80.8488	valid's rmse: 111.215
[160]	train's rmse: 80.6877	valid's rmse: 111.045
[161]	train's rmse: 80.4612	valid's rmse: 110.819
[162]	train's rmse: 80.3443	valid's rmse: 110.74
[163]	train's rmse: 79.8942	valid's rmse: 110.425
[164]	train's rmse: 79.7182	valid's rmse: 110.233
[165]	train's rmse: 79.5535	valid's rmse: 110.103
[166]	train's rmse: 79.4282	valid's rmse: 110
[167]	train's rmse: 79.3579	valid's rmse: 109.944
[168]	train's rmse: 79.0184	valid's rmse: 109.652
[169]	train's rmse: 78.8725	valid's rmse: 109.536
[170]	train's rmse: 78.7706	valid's rmse: 109.475
[171]	train's rmse: 78.6141	valid's rmse: 109.339
[172]	train's rmse: 78.5217	valid's rmse: 109.264
[173]	train's rmse: 78.3532	valid's rmse: 109.102
[174]	train's rmse: 77.9781	valid's rmse: 109.041
[175]	train's rmse: 77.8688	valid's rmse: 108.933
[176]	train's rmse: 77.5505	valid's rmse: 108.808
[177]	train's rmse: 77.3731	valid's rmse: 108.65
[178]	train's rmse: 77.3188	valid's rmse: 108.623
[179]	train's rmse: 77.213	valid's rmse: 108.589
[180]	train's rmse: 77.0939	valid's rmse: 108.479
[181]	train's rmse: 76.9645	valid's rmse: 108.378
[182]	train's rmse: 76.7802	valid's rmse: 108.2
[183]	train's rmse: 76.6254	valid's rmse: 108.096
[184]	train's rmse: 76.5095	valid's rmse: 108.004
[185]	train's rmse: 76.2745	valid's rmse: 107.999
[186]	train's rmse: 76.182	valid's rmse: 107.936
[187]	train's rmse: 76.0563	valid's rmse: 107.855
[188]	train's rmse: 75.8952	valid's rmse: 107.68
[189]	train's rmse: 75.8434	valid's rmse: 107.657
[190]	train's rmse: 75.7472	valid's rmse: 107.566
[191]	train's rmse: 75.6749	valid's rmse: 107.515
[192]	train's rmse: 75.5246	valid's rmse: 107.362
[193]	train's rmse: 75.3944	valid's rmse: 107.224
[194]	train's rmse: 75.2073	valid's rmse: 107.058
[195]	train's rmse: 75.0761	valid's rmse: 106.973
[196]	train's rmse: 74.97	valid's rmse: 106.901
[197]	train's rmse: 74.9159	valid's rmse: 106.875
[198]	train's rmse: 74.6357	valid's rmse: 106.784
[199]	train's rmse: 74.3682	valid's rmse: 106.583
[200]	train's rmse: 74.272	valid's rmse: 106.506
[201]	train's rmse: 74.1406	valid's rmse: 106.417
[202]	train's rmse: 74.0588	valid's rmse: 106.355
[203]	train's rmse: 73.9535	valid's rmse: 106.291
[204]	train's rmse: 73.9032	valid's rmse: 106.262
[205]	train's rmse: 73.7417	valid's rmse: 106.107
[206]	train's rmse: 73.4125	valid's rmse: 105.841
[207]	train's rmse: 73.3055	valid's rmse: 105.746
[208]	train's rmse: 73.1551	valid's rmse: 105.624
[209]	train's rmse: 72.969	valid's rmse: 105.422
[210]	train's rmse: 72.8686	valid's rmse: 105.322
[211]	train's rmse: 72.6656	valid's rmse: 105.282
[212]	train's rmse: 72.5422	valid's rmse: 105.141
[213]	train's rmse: 72.4929	valid's rmse: 105.131
[214]	train's rmse: 72.3497	valid's rmse: 105.135
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[885]	train's rmse: 36.2698	valid's rmse: 82.9846
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[920]	train's rmse: 35.5912	valid's rmse: 82.6505
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[950]	train's rmse: 34.9622	valid's rmse: 82.3156
[951]	train's rmse: 34.9446	valid's rmse: 82.3077
[952]	train's rmse: 34.929	valid's rmse: 82.3011
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[954]	train's rmse: 34.8472	valid's rmse: 82.2395
[955]	train's rmse: 34.8386	valid's rmse: 82.2368
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[957]	train's rmse: 34.7885	valid's rmse: 82.2311
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[967]	train's rmse: 34.6039	valid's rmse: 82.1376
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[970]	train's rmse: 34.5023	valid's rmse: 82.0685
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[978]	train's rmse: 34.3812	valid's rmse: 82.0186
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[980]	train's rmse: 34.3443	valid's rmse: 82.0042
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[1000]	train's rmse: 33.9883	valid's rmse: 81.7574
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[1080]	train's rmse: 32.699	valid's rmse: 81.2024
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[1186]	train's rmse: 31.078	valid's rmse: 80.4038
[1187]	train's rmse: 31.0709	valid's rmse: 80.4015
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[1190]	train's rmse: 31.0231	valid's rmse: 80.39
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[1201]	train's rmse: 30.8831	valid's rmse: 80.3622
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[1211]	train's rmse: 30.7457	valid's rmse: 80.2946
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[1234]	train's rmse: 30.4523	valid's rmse: 80.1695
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[1819]	train's rmse: 25.2384	valid's rmse: 78.0927
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[1821]	train's rmse: 25.2198	valid's rmse: 78.0868
[1822]	train's rmse: 25.2177	valid's rmse: 78.0862
[1823]	train's rmse: 25.2127	valid's rmse: 78.0863
[1824]	train's rmse: 25.2054	valid's rmse: 78.084
[1825]	train's rmse: 25.2001	valid's rmse: 78.0828
[1826]	train's rmse: 25.1908	valid's rmse: 78.079
[1827]	train's rmse: 25.179	valid's rmse: 78.0772
[1828]	train's rmse: 25.1716	valid's rmse: 78.0753
[1829]	train's rmse: 25.1659	valid's rmse: 78.0732
[1830]	train's rmse: 25.1573	valid's rmse: 78.0716
[1831]	train's rmse: 25.1506	valid's rmse: 78.0702
[1832]	train's rmse: 25.1407	valid's rmse: 78.0679
[1833]	train's rmse: 25.1339	valid's rmse: 78.0654
[1834]	train's rmse: 25.127	valid's rmse: 78.0683
[1835]	train's rmse: 25.123	valid's rmse: 78.0674
[1836]	train's rmse: 25.1155	valid's rmse: 78.0659
[1837]	train's rmse: 25.111	valid's rmse: 78.0645
[1838]	train's rmse: 25.1073	valid's rmse: 78.0641
[1839]	train's rmse: 25.1002	valid's rmse: 78.0612
[1840]	train's rmse: 25.0911	valid's rmse: 78.061
[1841]	train's rmse: 25.0871	valid's rmse: 78.0592
[1842]	train's rmse: 25.0849	valid's rmse: 78.059
[1843]	train's rmse: 25.0813	valid's rmse: 78.0571
[1844]	train's rmse: 25.0717	valid's rmse: 78.0545
[1845]	train's rmse: 25.0481	valid's rmse: 78.0263
[1846]	train's rmse: 25.0457	valid's rmse: 78.0256
[1847]	train's rmse: 25.0367	valid's rmse: 78.0211
[1848]	train's rmse: 25.0319	valid's rmse: 78.0202
[1849]	train's rmse: 25.0306	valid's rmse: 78.0194
[1850]	train's rmse: 25.0185	valid's rmse: 78.0055
[1851]	train's rmse: 25.0146	valid's rmse: 78.0019
[1852]	train's rmse: 24.9986	valid's rmse: 77.9983
[1853]	train's rmse: 24.9912	valid's rmse: 77.9977
[1854]	train's rmse: 24.9827	valid's rmse: 77.9911
[1855]	train's rmse: 24.9787	valid's rmse: 77.9905
[1856]	train's rmse: 24.9732	valid's rmse: 77.9879
[1857]	train's rmse: 24.9621	valid's rmse: 77.9839
[1858]	train's rmse: 24.9571	valid's rmse: 77.9833
[1859]	train's rmse: 24.9508	valid's rmse: 77.9759
[1860]	train's rmse: 24.9454	valid's rmse: 77.9741
[1861]	train's rmse: 24.9398	valid's rmse: 77.9723
[1862]	train's rmse: 24.9303	valid's rmse: 77.9674
[1863]	train's rmse: 24.9258	valid's rmse: 77.9679
[1864]	train's rmse: 24.9138	valid's rmse: 77.9615
[1865]	train's rmse: 24.9077	valid's rmse: 77.9577
[1866]	train's rmse: 24.9027	valid's rmse: 77.9571
[1867]	train's rmse: 24.8978	valid's rmse: 77.9541
[1868]	train's rmse: 24.8923	valid's rmse: 77.9514
[1869]	train's rmse: 24.8916	valid's rmse: 77.9512
[1870]	train's rmse: 24.887	valid's rmse: 77.9499
[1871]	train's rmse: 24.8839	valid's rmse: 77.9491
[1872]	train's rmse: 24.8807	valid's rmse: 77.9476
[1873]	train's rmse: 24.8767	valid's rmse: 77.9465
[1874]	train's rmse: 24.8752	valid's rmse: 77.9457
[1875]	train's rmse: 24.8739	valid's rmse: 77.9452
[1876]	train's rmse: 24.8697	valid's rmse: 77.9445
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[1878]	train's rmse: 24.8582	valid's rmse: 77.9416
[1879]	train's rmse: 24.8553	valid's rmse: 77.9402
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[1881]	train's rmse: 24.8484	valid's rmse: 77.942
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[1883]	train's rmse: 24.8338	valid's rmse: 77.9399
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[1886]	train's rmse: 24.8152	valid's rmse: 77.9323
[1887]	train's rmse: 24.8066	valid's rmse: 77.9288
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[1889]	train's rmse: 24.7958	valid's rmse: 77.9276
[1890]	train's rmse: 24.792	valid's rmse: 77.9264
[1891]	train's rmse: 24.787	valid's rmse: 77.9236
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[1898]	train's rmse: 24.746	valid's rmse: 77.9131
[1899]	train's rmse: 24.7344	valid's rmse: 77.9116
[1900]	train's rmse: 24.7315	valid's rmse: 77.911
[1901]	train's rmse: 24.7218	valid's rmse: 77.9091
[1902]	train's rmse: 24.7153	valid's rmse: 77.9075
[1903]	train's rmse: 24.7079	valid's rmse: 77.9015
[1904]	train's rmse: 24.6931	valid's rmse: 77.8962
[1905]	train's rmse: 24.6867	valid's rmse: 77.8921
[1906]	train's rmse: 24.6783	valid's rmse: 77.8903
[1907]	train's rmse: 24.6677	valid's rmse: 77.8843
[1908]	train's rmse: 24.6596	valid's rmse: 77.8823
[1909]	train's rmse: 24.6341	valid's rmse: 77.8608
[1910]	train's rmse: 24.63	valid's rmse: 77.858
[1911]	train's rmse: 24.6125	valid's rmse: 77.8355
[1912]	train's rmse: 24.6108	valid's rmse: 77.8347
[1913]	train's rmse: 24.6021	valid's rmse: 77.8308
[1914]	train's rmse: 24.5965	valid's rmse: 77.8298
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[1916]	train's rmse: 24.586	valid's rmse: 77.8271
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[1920]	train's rmse: 24.5616	valid's rmse: 77.8223
[1921]	train's rmse: 24.5588	valid's rmse: 77.8217
[1922]	train's rmse: 24.5533	valid's rmse: 77.8196
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[1924]	train's rmse: 24.5411	valid's rmse: 77.817
[1925]	train's rmse: 24.5364	valid's rmse: 77.8158
[1926]	train's rmse: 24.529	valid's rmse: 77.8142
[1927]	train's rmse: 24.5241	valid's rmse: 77.8125
[1928]	train's rmse: 24.5187	valid's rmse: 77.8114
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[1930]	train's rmse: 24.5045	valid's rmse: 77.8062
[1931]	train's rmse: 24.4969	valid's rmse: 77.8037
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[1933]	train's rmse: 24.4833	valid's rmse: 77.7915
[1934]	train's rmse: 24.4642	valid's rmse: 77.7638
[1935]	train's rmse: 24.4591	valid's rmse: 77.762
[1936]	train's rmse: 24.4573	valid's rmse: 77.7619
[1937]	train's rmse: 24.4508	valid's rmse: 77.7593
[1938]	train's rmse: 24.4472	valid's rmse: 77.7588
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[1941]	train's rmse: 24.419	valid's rmse: 77.75
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[1943]	train's rmse: 24.4057	valid's rmse: 77.7471
[1944]	train's rmse: 24.3972	valid's rmse: 77.7434
[1945]	train's rmse: 24.392	valid's rmse: 77.7424
[1946]	train's rmse: 24.387	valid's rmse: 77.74
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[1948]	train's rmse: 24.3731	valid's rmse: 77.7348
[1949]	train's rmse: 24.3703	valid's rmse: 77.7343
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[1951]	train's rmse: 24.3439	valid's rmse: 77.7301
[1952]	train's rmse: 24.3388	valid's rmse: 77.7209
[1953]	train's rmse: 24.3308	valid's rmse: 77.7191
[1954]	train's rmse: 24.3273	valid's rmse: 77.7173
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[1956]	train's rmse: 24.3173	valid's rmse: 77.7155
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[1958]	train's rmse: 24.3126	valid's rmse: 77.7144
[1959]	train's rmse: 24.3077	valid's rmse: 77.7128
[1960]	train's rmse: 24.3039	valid's rmse: 77.7116
[1961]	train's rmse: 24.2967	valid's rmse: 77.7054
[1962]	train's rmse: 24.294	valid's rmse: 77.7044
[1963]	train's rmse: 24.2796	valid's rmse: 77.6878
[1964]	train's rmse: 24.2742	valid's rmse: 77.6846
[1965]	train's rmse: 24.2656	valid's rmse: 77.6807
[1966]	train's rmse: 24.26	valid's rmse: 77.679
[1967]	train's rmse: 24.2537	valid's rmse: 77.6774
[1968]	train's rmse: 24.2478	valid's rmse: 77.6763
[1969]	train's rmse: 24.2351	valid's rmse: 77.6718
[1970]	train's rmse: 24.2233	valid's rmse: 77.6674
[1971]	train's rmse: 24.2112	valid's rmse: 77.6616
[1972]	train's rmse: 24.2028	valid's rmse: 77.6591
[1973]	train's rmse: 24.1986	valid's rmse: 77.6583
[1974]	train's rmse: 24.1976	valid's rmse: 77.6578
[1975]	train's rmse: 24.1901	valid's rmse: 77.6543
[1976]	train's rmse: 24.177	valid's rmse: 77.6498
[1977]	train's rmse: 24.1694	valid's rmse: 77.6484
[1978]	train's rmse: 24.1652	valid's rmse: 77.6464
[1979]	train's rmse: 24.1591	valid's rmse: 77.6456
[1980]	train's rmse: 24.1525	valid's rmse: 77.644
[1981]	train's rmse: 24.1499	valid's rmse: 77.6428
[1982]	train's rmse: 24.1468	valid's rmse: 77.6414
[1983]	train's rmse: 24.1424	valid's rmse: 77.6376
[1984]	train's rmse: 24.1376	valid's rmse: 77.6363
[1985]	train's rmse: 24.1285	valid's rmse: 77.6358
[1986]	train's rmse: 24.1218	valid's rmse: 77.6338
[1987]	train's rmse: 24.1163	valid's rmse: 77.6353
[1988]	train's rmse: 24.1127	valid's rmse: 77.6337
[1989]	train's rmse: 24.1104	valid's rmse: 77.6333
[1990]	train's rmse: 24.1068	valid's rmse: 77.6318
[1991]	train's rmse: 24.1021	valid's rmse: 77.6299
[1992]	train's rmse: 24.0985	valid's rmse: 77.6289
[1993]	train's rmse: 24.0937	valid's rmse: 77.6274
[1994]	train's rmse: 24.0881	valid's rmse: 77.6263
[1995]	train's rmse: 24.0788	valid's rmse: 77.6196
[1996]	train's rmse: 24.0727	valid's rmse: 77.6176
[1997]	train's rmse: 24.0686	valid's rmse: 77.6162
[1998]	train's rmse: 24.0612	valid's rmse: 77.6108
[1999]	train's rmse: 24.0491	valid's rmse: 77.6017
[2000]	train's rmse: 24.0461	valid's rmse: 77.6016
[2001]	train's rmse: 24.0385	valid's rmse: 77.5989
[2002]	train's rmse: 24.0342	valid's rmse: 77.5975
[2003]	train's rmse: 24.0306	valid's rmse: 77.5966
[2004]	train's rmse: 24.0225	valid's rmse: 77.5991
[2005]	train's rmse: 24.0156	valid's rmse: 77.5979
[2006]	train's rmse: 24.0077	valid's rmse: 77.599
[2007]	train's rmse: 23.9915	valid's rmse: 77.5834
[2008]	train's rmse: 23.9794	valid's rmse: 77.5766
[2009]	train's rmse: 23.9759	valid's rmse: 77.5767
[2010]	train's rmse: 23.9718	valid's rmse: 77.5748
[2011]	train's rmse: 23.9557	valid's rmse: 77.5714
[2012]	train's rmse: 23.9522	valid's rmse: 77.5684
[2013]	train's rmse: 23.9464	valid's rmse: 77.5668
[2014]	train's rmse: 23.9443	valid's rmse: 77.5661
[2015]	train's rmse: 23.941	valid's rmse: 77.5643
[2016]	train's rmse: 23.9365	valid's rmse: 77.564
[2017]	train's rmse: 23.9311	valid's rmse: 77.5636
[2018]	train's rmse: 23.9235	valid's rmse: 77.5632
[2019]	train's rmse: 23.92	valid's rmse: 77.562
[2020]	train's rmse: 23.911	valid's rmse: 77.5578
[2021]	train's rmse: 23.9051	valid's rmse: 77.5527
[2022]	train's rmse: 23.8987	valid's rmse: 77.5515
[2023]	train's rmse: 23.8803	valid's rmse: 77.5336
[2024]	train's rmse: 23.8715	valid's rmse: 77.5323
[2025]	train's rmse: 23.8641	valid's rmse: 77.5302
[2026]	train's rmse: 23.8601	valid's rmse: 77.5282
[2027]	train's rmse: 23.8545	valid's rmse: 77.5267
[2028]	train's rmse: 23.8492	valid's rmse: 77.5248
[2029]	train's rmse: 23.8408	valid's rmse: 77.5223
[2030]	train's rmse: 23.8371	valid's rmse: 77.5219
[2031]	train's rmse: 23.8318	valid's rmse: 77.522
[2032]	train's rmse: 23.8283	valid's rmse: 77.5213
[2033]	train's rmse: 23.8226	valid's rmse: 77.5187
[2034]	train's rmse: 23.821	valid's rmse: 77.5175
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[2037]	train's rmse: 23.808	valid's rmse: 77.5121
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[2040]	train's rmse: 23.7975	valid's rmse: 77.5089
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[2047]	train's rmse: 23.7563	valid's rmse: 77.4795
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[2050]	train's rmse: 23.742	valid's rmse: 77.475
[2051]	train's rmse: 23.7377	valid's rmse: 77.474
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[2055]	train's rmse: 23.7141	valid's rmse: 77.4708
[2056]	train's rmse: 23.7107	valid's rmse: 77.471
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[2058]	train's rmse: 23.7034	valid's rmse: 77.4622
[2059]	train's rmse: 23.6972	valid's rmse: 77.4606
[2060]	train's rmse: 23.6897	valid's rmse: 77.4588
[2061]	train's rmse: 23.685	valid's rmse: 77.4564
[2062]	train's rmse: 23.682	valid's rmse: 77.4551
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[2064]	train's rmse: 23.6748	valid's rmse: 77.4566
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[2066]	train's rmse: 23.6676	valid's rmse: 77.4524
[2067]	train's rmse: 23.6619	valid's rmse: 77.4507
[2068]	train's rmse: 23.6578	valid's rmse: 77.4491
[2069]	train's rmse: 23.6517	valid's rmse: 77.4474
[2070]	train's rmse: 23.6448	valid's rmse: 77.4457
[2071]	train's rmse: 23.641	valid's rmse: 77.4449
[2072]	train's rmse: 23.6337	valid's rmse: 77.4429
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[2074]	train's rmse: 23.6213	valid's rmse: 77.439
[2075]	train's rmse: 23.6172	valid's rmse: 77.4393
[2076]	train's rmse: 23.6116	valid's rmse: 77.4396
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[2081]	train's rmse: 23.5784	valid's rmse: 77.4342
[2082]	train's rmse: 23.5678	valid's rmse: 77.4329
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[2090]	train's rmse: 23.5258	valid's rmse: 77.422
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[2097]	train's rmse: 23.4876	valid's rmse: 77.4014
[2098]	train's rmse: 23.4844	valid's rmse: 77.3988
[2099]	train's rmse: 23.4797	valid's rmse: 77.398
[2100]	train's rmse: 23.4734	valid's rmse: 77.3951
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[2109]	train's rmse: 23.4205	valid's rmse: 77.384
[2110]	train's rmse: 23.4151	valid's rmse: 77.3825
[2111]	train's rmse: 23.4101	valid's rmse: 77.3807
[2112]	train's rmse: 23.4023	valid's rmse: 77.3757
[2113]	train's rmse: 23.3965	valid's rmse: 77.3745
[2114]	train's rmse: 23.3927	valid's rmse: 77.3731
[2115]	train's rmse: 23.3878	valid's rmse: 77.3697
[2116]	train's rmse: 23.3725	valid's rmse: 77.3633
[2117]	train's rmse: 23.3693	valid's rmse: 77.3623
[2118]	train's rmse: 23.3644	valid's rmse: 77.3599
[2119]	train's rmse: 23.3599	valid's rmse: 77.3581
[2120]	train's rmse: 23.3569	valid's rmse: 77.3573
[2121]	train's rmse: 23.3523	valid's rmse: 77.3568
[2122]	train's rmse: 23.3472	valid's rmse: 77.355
[2123]	train's rmse: 23.3434	valid's rmse: 77.3545
[2124]	train's rmse: 23.3298	valid's rmse: 77.3388
[2125]	train's rmse: 23.3258	valid's rmse: 77.3375
[2126]	train's rmse: 23.323	valid's rmse: 77.3375
[2127]	train's rmse: 23.3128	valid's rmse: 77.3391
[2128]	train's rmse: 23.3106	valid's rmse: 77.3378
[2129]	train's rmse: 23.3086	valid's rmse: 77.3377
[2130]	train's rmse: 23.304	valid's rmse: 77.3373
[2131]	train's rmse: 23.301	valid's rmse: 77.3371
[2132]	train's rmse: 23.2968	valid's rmse: 77.3359
[2133]	train's rmse: 23.289	valid's rmse: 77.335
[2134]	train's rmse: 23.2812	valid's rmse: 77.332
[2135]	train's rmse: 23.2768	valid's rmse: 77.33
[2136]	train's rmse: 23.269	valid's rmse: 77.3283
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[2154]	train's rmse: 23.1922	valid's rmse: 77.2922
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[2157]	train's rmse: 23.1726	valid's rmse: 77.287
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[2160]	train's rmse: 23.1506	valid's rmse: 77.2789
[2161]	train's rmse: 23.1471	valid's rmse: 77.2779
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[2190]	train's rmse: 23.006	valid's rmse: 77.2253
[2191]	train's rmse: 23.0049	valid's rmse: 77.2245
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[2241]	train's rmse: 22.7548	valid's rmse: 77.1104
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[2251]	train's rmse: 22.6876	valid's rmse: 77.0913
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[2255]	train's rmse: 22.6676	valid's rmse: 77.0879
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[2260]	train's rmse: 22.6426	valid's rmse: 77.079
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[3395]	train's rmse: 18.4954	valid's rmse: 75.8497
[3396]	train's rmse: 18.4918	valid's rmse: 75.8464
[3397]	train's rmse: 18.4903	valid's rmse: 75.8461
[3398]	train's rmse: 18.4869	valid's rmse: 75.8456
[3399]	train's rmse: 18.4828	valid's rmse: 75.8448
[3400]	train's rmse: 18.4795	valid's rmse: 75.844
[3401]	train's rmse: 18.4764	valid's rmse: 75.844
[3402]	train's rmse: 18.4742	valid's rmse: 75.8417
[3403]	train's rmse: 18.4722	valid's rmse: 75.8412
[3404]	train's rmse: 18.4708	valid's rmse: 75.8407
[3405]	train's rmse: 18.4666	valid's rmse: 75.8395
[3406]	train's rmse: 18.4635	valid's rmse: 75.8386
[3407]	train's rmse: 18.4598	valid's rmse: 75.8376
[3408]	train's rmse: 18.4555	valid's rmse: 75.8365
[3409]	train's rmse: 18.4538	valid's rmse: 75.8362
[3410]	train's rmse: 18.4524	valid's rmse: 75.8353
[3411]	train's rmse: 18.4497	valid's rmse: 75.835
[3412]	train's rmse: 18.4458	valid's rmse: 75.8337
[3413]	train's rmse: 18.4431	valid's rmse: 75.8328
[3414]	train's rmse: 18.4403	valid's rmse: 75.8328
[3415]	train's rmse: 18.4374	valid's rmse: 75.8315
[3416]	train's rmse: 18.4338	valid's rmse: 75.8317
[3417]	train's rmse: 18.4313	valid's rmse: 75.831
[3418]	train's rmse: 18.4283	valid's rmse: 75.8298
[3419]	train's rmse: 18.4274	valid's rmse: 75.8296
[3420]	train's rmse: 18.4239	valid's rmse: 75.8302
[3421]	train's rmse: 18.4212	valid's rmse: 75.8305
[3422]	train's rmse: 18.4161	valid's rmse: 75.8312
[3423]	train's rmse: 18.4139	valid's rmse: 75.8306
[3424]	train's rmse: 18.4126	valid's rmse: 75.83
[3425]	train's rmse: 18.4093	valid's rmse: 75.8296
[3426]	train's rmse: 18.4058	valid's rmse: 75.8288
[3427]	train's rmse: 18.4036	valid's rmse: 75.8278
[3428]	train's rmse: 18.4019	valid's rmse: 75.8273
[3429]	train's rmse: 18.4018	valid's rmse: 75.8273
[3430]	train's rmse: 18.3996	valid's rmse: 75.8271
[3431]	train's rmse: 18.3979	valid's rmse: 75.8266
[3432]	train's rmse: 18.392	valid's rmse: 75.8269
[3433]	train's rmse: 18.3905	valid's rmse: 75.8268
[3434]	train's rmse: 18.3895	valid's rmse: 75.8269
[3435]	train's rmse: 18.3856	valid's rmse: 75.826
[3436]	train's rmse: 18.3843	valid's rmse: 75.8258
[3437]	train's rmse: 18.3818	valid's rmse: 75.8251
[3438]	train's rmse: 18.3795	valid's rmse: 75.8245
[3439]	train's rmse: 18.3773	valid's rmse: 75.8249
[3440]	train's rmse: 18.3754	valid's rmse: 75.8255
[3441]	train's rmse: 18.3735	valid's rmse: 75.825
[3442]	train's rmse: 18.3714	valid's rmse: 75.8248
[3443]	train's rmse: 18.3678	valid's rmse: 75.8236
[3444]	train's rmse: 18.3644	valid's rmse: 75.8255
[3445]	train's rmse: 18.3607	valid's rmse: 75.8248
[3446]	train's rmse: 18.355	valid's rmse: 75.8223
[3447]	train's rmse: 18.3525	valid's rmse: 75.8228
[3448]	train's rmse: 18.3487	valid's rmse: 75.8224
[3449]	train's rmse: 18.3483	valid's rmse: 75.8223
[3450]	train's rmse: 18.345	valid's rmse: 75.8214
[3451]	train's rmse: 18.3415	valid's rmse: 75.82
[3452]	train's rmse: 18.3379	valid's rmse: 75.8188
[3453]	train's rmse: 18.3314	valid's rmse: 75.8145
[3454]	train's rmse: 18.3302	valid's rmse: 75.8154
[3455]	train's rmse: 18.3282	valid's rmse: 75.8155
[3456]	train's rmse: 18.3269	valid's rmse: 75.8151
[3457]	train's rmse: 18.3251	valid's rmse: 75.8146
[3458]	train's rmse: 18.3228	valid's rmse: 75.8133
[3459]	train's rmse: 18.3212	valid's rmse: 75.8127
[3460]	train's rmse: 18.3189	valid's rmse: 75.8124
[3461]	train's rmse: 18.3169	valid's rmse: 75.8108
[3462]	train's rmse: 18.3144	valid's rmse: 75.8103
[3463]	train's rmse: 18.3115	valid's rmse: 75.8089
[3464]	train's rmse: 18.3077	valid's rmse: 75.8077
[3465]	train's rmse: 18.3047	valid's rmse: 75.8081
[3466]	train's rmse: 18.3023	valid's rmse: 75.8076
[3467]	train's rmse: 18.2985	valid's rmse: 75.8067
[3468]	train's rmse: 18.2951	valid's rmse: 75.8044
[3469]	train's rmse: 18.2923	valid's rmse: 75.8042
[3470]	train's rmse: 18.2907	valid's rmse: 75.8043
[3471]	train's rmse: 18.2858	valid's rmse: 75.8031
[3472]	train's rmse: 18.2838	valid's rmse: 75.8034
[3473]	train's rmse: 18.2807	valid's rmse: 75.8024
[3474]	train's rmse: 18.278	valid's rmse: 75.8017
[3475]	train's rmse: 18.2772	valid's rmse: 75.8015
[3476]	train's rmse: 18.2731	valid's rmse: 75.8013
[3477]	train's rmse: 18.2719	valid's rmse: 75.801
[3478]	train's rmse: 18.2705	valid's rmse: 75.8013
[3479]	train's rmse: 18.2663	valid's rmse: 75.8017
[3480]	train's rmse: 18.2637	valid's rmse: 75.8012
[3481]	train's rmse: 18.2617	valid's rmse: 75.7983
[3482]	train's rmse: 18.2553	valid's rmse: 75.7975
[3483]	train's rmse: 18.2529	valid's rmse: 75.7985
[3484]	train's rmse: 18.2503	valid's rmse: 75.7987
[3485]	train's rmse: 18.2478	valid's rmse: 75.7978
[3486]	train's rmse: 18.247	valid's rmse: 75.7973
[3487]	train's rmse: 18.2445	valid's rmse: 75.7962
[3488]	train's rmse: 18.2412	valid's rmse: 75.7946
[3489]	train's rmse: 18.2371	valid's rmse: 75.794
[3490]	train's rmse: 18.233	valid's rmse: 75.7933
[3491]	train's rmse: 18.2289	valid's rmse: 75.7917
[3492]	train's rmse: 18.2269	valid's rmse: 75.7927
[3493]	train's rmse: 18.2249	valid's rmse: 75.7919
[3494]	train's rmse: 18.2206	valid's rmse: 75.7909
[3495]	train's rmse: 18.2202	valid's rmse: 75.7908
[3496]	train's rmse: 18.2175	valid's rmse: 75.7903
[3497]	train's rmse: 18.2159	valid's rmse: 75.79
[3498]	train's rmse: 18.214	valid's rmse: 75.7898
[3499]	train's rmse: 18.213	valid's rmse: 75.7899
[3500]	train's rmse: 18.209	valid's rmse: 75.7891
[3501]	train's rmse: 18.2041	valid's rmse: 75.7882
[3502]	train's rmse: 18.2003	valid's rmse: 75.7864
[3503]	train's rmse: 18.1962	valid's rmse: 75.7838
[3504]	train's rmse: 18.1935	valid's rmse: 75.7827
[3505]	train's rmse: 18.1901	valid's rmse: 75.7821
[3506]	train's rmse: 18.1871	valid's rmse: 75.7817
[3507]	train's rmse: 18.1866	valid's rmse: 75.7813
[3508]	train's rmse: 18.1832	valid's rmse: 75.783
[3509]	train's rmse: 18.1809	valid's rmse: 75.7826
[3510]	train's rmse: 18.1797	valid's rmse: 75.7825
[3511]	train's rmse: 18.1776	valid's rmse: 75.7822
[3512]	train's rmse: 18.1764	valid's rmse: 75.7817
[3513]	train's rmse: 18.1718	valid's rmse: 75.7799
[3514]	train's rmse: 18.1699	valid's rmse: 75.7798
[3515]	train's rmse: 18.1681	valid's rmse: 75.7792
[3516]	train's rmse: 18.1636	valid's rmse: 75.778
[3517]	train's rmse: 18.1608	valid's rmse: 75.7766
[3518]	train's rmse: 18.1577	valid's rmse: 75.7738
[3519]	train's rmse: 18.1573	valid's rmse: 75.7738
[3520]	train's rmse: 18.1559	valid's rmse: 75.7732
[3521]	train's rmse: 18.1536	valid's rmse: 75.7735
[3522]	train's rmse: 18.1513	valid's rmse: 75.773
[3523]	train's rmse: 18.1506	valid's rmse: 75.7729
[3524]	train's rmse: 18.1491	valid's rmse: 75.7727
[3525]	train's rmse: 18.1475	valid's rmse: 75.7721
[3526]	train's rmse: 18.147	valid's rmse: 75.772
[3527]	train's rmse: 18.1436	valid's rmse: 75.7714
[3528]	train's rmse: 18.1421	valid's rmse: 75.7712
[3529]	train's rmse: 18.1391	valid's rmse: 75.773
[3530]	train's rmse: 18.1382	valid's rmse: 75.773
[3531]	train's rmse: 18.1376	valid's rmse: 75.7728
[3532]	train's rmse: 18.1345	valid's rmse: 75.7725
[3533]	train's rmse: 18.1325	valid's rmse: 75.7721
[3534]	train's rmse: 18.1307	valid's rmse: 75.7717
[3535]	train's rmse: 18.1275	valid's rmse: 75.7709
[3536]	train's rmse: 18.1258	valid's rmse: 75.7709
[3537]	train's rmse: 18.1248	valid's rmse: 75.7711
[3538]	train's rmse: 18.1232	valid's rmse: 75.7708
[3539]	train's rmse: 18.1206	valid's rmse: 75.7703
[3540]	train's rmse: 18.1144	valid's rmse: 75.7676
[3541]	train's rmse: 18.1121	valid's rmse: 75.7672
[3542]	train's rmse: 18.1095	valid's rmse: 75.7673
[3543]	train's rmse: 18.1053	valid's rmse: 75.765
[3544]	train's rmse: 18.1038	valid's rmse: 75.7647
[3545]	train's rmse: 18.1021	valid's rmse: 75.764
[3546]	train's rmse: 18.099	valid's rmse: 75.7635
[3547]	train's rmse: 18.0961	valid's rmse: 75.7628
[3548]	train's rmse: 18.093	valid's rmse: 75.7621
[3549]	train's rmse: 18.091	valid's rmse: 75.7617
[3550]	train's rmse: 18.0882	valid's rmse: 75.7603
[3551]	train's rmse: 18.0844	valid's rmse: 75.7597
[3552]	train's rmse: 18.0833	valid's rmse: 75.7593
[3553]	train's rmse: 18.0793	valid's rmse: 75.7581
[3554]	train's rmse: 18.0762	valid's rmse: 75.7558
[3555]	train's rmse: 18.0757	valid's rmse: 75.7557
[3556]	train's rmse: 18.0734	valid's rmse: 75.7545
[3557]	train's rmse: 18.0701	valid's rmse: 75.7538
[3558]	train's rmse: 18.0684	valid's rmse: 75.7547
[3559]	train's rmse: 18.0678	valid's rmse: 75.7546
[3560]	train's rmse: 18.0663	valid's rmse: 75.7541
[3561]	train's rmse: 18.0648	valid's rmse: 75.7533
[3562]	train's rmse: 18.0629	valid's rmse: 75.7529
[3563]	train's rmse: 18.0602	valid's rmse: 75.7502
[3564]	train's rmse: 18.0585	valid's rmse: 75.7498
[3565]	train's rmse: 18.0546	valid's rmse: 75.7488
[3566]	train's rmse: 18.054	valid's rmse: 75.7486
[3567]	train's rmse: 18.0518	valid's rmse: 75.7463
[3568]	train's rmse: 18.0452	valid's rmse: 75.7425
[3569]	train's rmse: 18.0407	valid's rmse: 75.742
[3570]	train's rmse: 18.0355	valid's rmse: 75.7404
[3571]	train's rmse: 18.0327	valid's rmse: 75.7396
[3572]	train's rmse: 18.0277	valid's rmse: 75.7371
[3573]	train's rmse: 18.0266	valid's rmse: 75.7371
[3574]	train's rmse: 18.0234	valid's rmse: 75.7376
[3575]	train's rmse: 18.0199	valid's rmse: 75.7376
[3576]	train's rmse: 18.0181	valid's rmse: 75.7399
[3577]	train's rmse: 18.017	valid's rmse: 75.7397
[3578]	train's rmse: 18.0116	valid's rmse: 75.7331
[3579]	train's rmse: 18.008	valid's rmse: 75.7315
[3580]	train's rmse: 18.0059	valid's rmse: 75.7309
[3581]	train's rmse: 18.004	valid's rmse: 75.7322
[3582]	train's rmse: 18.0023	valid's rmse: 75.7315
[3583]	train's rmse: 17.9989	valid's rmse: 75.7298
[3584]	train's rmse: 17.9959	valid's rmse: 75.7291
[3585]	train's rmse: 17.9914	valid's rmse: 75.7284
[3586]	train's rmse: 17.9882	valid's rmse: 75.7279
[3587]	train's rmse: 17.9841	valid's rmse: 75.7267
[3588]	train's rmse: 17.9801	valid's rmse: 75.7253
[3589]	train's rmse: 17.978	valid's rmse: 75.7247
[3590]	train's rmse: 17.976	valid's rmse: 75.7241
[3591]	train's rmse: 17.9742	valid's rmse: 75.7233
[3592]	train's rmse: 17.9737	valid's rmse: 75.7231
[3593]	train's rmse: 17.971	valid's rmse: 75.7229
[3594]	train's rmse: 17.9696	valid's rmse: 75.7229
[3595]	train's rmse: 17.969	valid's rmse: 75.7227
[3596]	train's rmse: 17.9671	valid's rmse: 75.7221
[3597]	train's rmse: 17.9649	valid's rmse: 75.7215
[3598]	train's rmse: 17.961	valid's rmse: 75.7202
[3599]	train's rmse: 17.9595	valid's rmse: 75.7201
[3600]	train's rmse: 17.9558	valid's rmse: 75.7195
[3601]	train's rmse: 17.954	valid's rmse: 75.7177
[3602]	train's rmse: 17.9515	valid's rmse: 75.7172
[3603]	train's rmse: 17.9504	valid's rmse: 75.7168
[3604]	train's rmse: 17.9483	valid's rmse: 75.7165
[3605]	train's rmse: 17.9461	valid's rmse: 75.7153
[3606]	train's rmse: 17.9451	valid's rmse: 75.7154
[3607]	train's rmse: 17.943	valid's rmse: 75.7151
[3608]	train's rmse: 17.9426	valid's rmse: 75.715
[3609]	train's rmse: 17.9398	valid's rmse: 75.7144
[3610]	train's rmse: 17.9367	valid's rmse: 75.7136
[3611]	train's rmse: 17.9326	valid's rmse: 75.7123
[3612]	train's rmse: 17.93	valid's rmse: 75.7121
[3613]	train's rmse: 17.9276	valid's rmse: 75.7096
[3614]	train's rmse: 17.9243	valid's rmse: 75.7086
[3615]	train's rmse: 17.9182	valid's rmse: 75.7069
[3616]	train's rmse: 17.9129	valid's rmse: 75.7101
[3617]	train's rmse: 17.9107	valid's rmse: 75.7096
[3618]	train's rmse: 17.9068	valid's rmse: 75.7106
[3619]	train's rmse: 17.905	valid's rmse: 75.7095
[3620]	train's rmse: 17.9034	valid's rmse: 75.7083
[3621]	train's rmse: 17.9017	valid's rmse: 75.7091
[3622]	train's rmse: 17.8996	valid's rmse: 75.7086
[3623]	train's rmse: 17.8976	valid's rmse: 75.7082
[3624]	train's rmse: 17.8959	valid's rmse: 75.7078
[3625]	train's rmse: 17.8936	valid's rmse: 75.7073
Early stopping, best iteration is:
[3615]	train's rmse: 17.9182	valid's rmse: 75.7069
[I 2020-04-25 13:26:27,867] Finished trial#1 with value: 76.50855920345109 with parameters: {'lambda_l1': 0.011266702676151333, 'lambda_l2': 5.487834908402408e-06, 'num_leaves': 121, 'feature_fraction': 0.47024776552500963, 'bagging_fraction': 0.4940531291093002, 'bagging_freq': 2, 'min_child_samples': 86}. Best is trial#1 with value: 76.50855920345109.
/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_split.py:296: FutureWarning:

Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.

ストリーミング出力は最後の 5000 行に切り捨てられました。
[729]	train's rmse: 39.8998	valid's rmse: 69.1444
[730]	train's rmse: 39.8888	valid's rmse: 69.1398
[731]	train's rmse: 39.8677	valid's rmse: 69.1181
[732]	train's rmse: 39.8316	valid's rmse: 69.1084
[733]	train's rmse: 39.8187	valid's rmse: 69.0962
[734]	train's rmse: 39.8059	valid's rmse: 69.0828
[735]	train's rmse: 39.7967	valid's rmse: 69.0742
[736]	train's rmse: 39.7882	valid's rmse: 69.0691
[737]	train's rmse: 39.7665	valid's rmse: 69.0649
[738]	train's rmse: 39.7449	valid's rmse: 69.0501
[739]	train's rmse: 39.7267	valid's rmse: 69.038
[740]	train's rmse: 39.7109	valid's rmse: 69.0279
[741]	train's rmse: 39.6801	valid's rmse: 69.0179
[742]	train's rmse: 39.654	valid's rmse: 68.9986
[743]	train's rmse: 39.6364	valid's rmse: 68.9814
[744]	train's rmse: 39.6196	valid's rmse: 68.9683
[745]	train's rmse: 39.6055	valid's rmse: 68.9632
[746]	train's rmse: 39.4711	valid's rmse: 68.8034
[747]	train's rmse: 39.4378	valid's rmse: 68.7658
[748]	train's rmse: 39.4171	valid's rmse: 68.7527
[749]	train's rmse: 39.3887	valid's rmse: 68.7308
[750]	train's rmse: 39.3288	valid's rmse: 68.6625
[751]	train's rmse: 39.2996	valid's rmse: 68.6435
[752]	train's rmse: 39.2882	valid's rmse: 68.636
[753]	train's rmse: 39.2093	valid's rmse: 68.556
[754]	train's rmse: 39.1982	valid's rmse: 68.55
[755]	train's rmse: 39.1784	valid's rmse: 68.5339
[756]	train's rmse: 39.1617	valid's rmse: 68.5258
[757]	train's rmse: 39.1369	valid's rmse: 68.5074
[758]	train's rmse: 39.111	valid's rmse: 68.4851
[759]	train's rmse: 39.0866	valid's rmse: 68.4681
[760]	train's rmse: 39.0574	valid's rmse: 68.473
[761]	train's rmse: 39.0335	valid's rmse: 68.4569
[762]	train's rmse: 39.0114	valid's rmse: 68.4528
[763]	train's rmse: 38.9955	valid's rmse: 68.4457
[764]	train's rmse: 38.9693	valid's rmse: 68.4293
[765]	train's rmse: 38.9636	valid's rmse: 68.4269
[766]	train's rmse: 38.9291	valid's rmse: 68.4051
[767]	train's rmse: 38.9133	valid's rmse: 68.3896
[768]	train's rmse: 38.9035	valid's rmse: 68.3855
[769]	train's rmse: 38.8731	valid's rmse: 68.359
[770]	train's rmse: 38.8364	valid's rmse: 68.3289
[771]	train's rmse: 38.8194	valid's rmse: 68.3194
[772]	train's rmse: 38.7898	valid's rmse: 68.2999
[773]	train's rmse: 38.7681	valid's rmse: 68.2841
[774]	train's rmse: 38.7553	valid's rmse: 68.276
[775]	train's rmse: 38.7271	valid's rmse: 68.2783
[776]	train's rmse: 38.7126	valid's rmse: 68.2683
[777]	train's rmse: 38.6969	valid's rmse: 68.2581
[778]	train's rmse: 38.6408	valid's rmse: 68.2091
[779]	train's rmse: 38.6306	valid's rmse: 68.201
[780]	train's rmse: 38.6111	valid's rmse: 68.1936
[781]	train's rmse: 38.6	valid's rmse: 68.187
[782]	train's rmse: 38.5944	valid's rmse: 68.1845
[783]	train's rmse: 38.5875	valid's rmse: 68.1766
[784]	train's rmse: 38.5671	valid's rmse: 68.1642
[785]	train's rmse: 38.5506	valid's rmse: 68.154
[786]	train's rmse: 38.4969	valid's rmse: 68.0979
[787]	train's rmse: 38.479	valid's rmse: 68.0869
[788]	train's rmse: 38.4652	valid's rmse: 68.0817
[789]	train's rmse: 38.4373	valid's rmse: 68.065
[790]	train's rmse: 38.4177	valid's rmse: 68.0513
[791]	train's rmse: 38.3954	valid's rmse: 68.0372
[792]	train's rmse: 38.3772	valid's rmse: 68.0265
[793]	train's rmse: 38.3363	valid's rmse: 68.0085
[794]	train's rmse: 38.3293	valid's rmse: 68.0058
[795]	train's rmse: 38.3078	valid's rmse: 67.9922
[796]	train's rmse: 38.2941	valid's rmse: 67.9849
[797]	train's rmse: 38.263	valid's rmse: 67.9723
[798]	train's rmse: 38.1958	valid's rmse: 67.8952
[799]	train's rmse: 38.1575	valid's rmse: 67.8627
[800]	train's rmse: 38.1354	valid's rmse: 67.8482
[801]	train's rmse: 38.1202	valid's rmse: 67.8425
[802]	train's rmse: 38.0655	valid's rmse: 67.7705
[803]	train's rmse: 38.0499	valid's rmse: 67.7612
[804]	train's rmse: 38.0233	valid's rmse: 67.7534
[805]	train's rmse: 38.0079	valid's rmse: 67.7516
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[830]	train's rmse: 37.4618	valid's rmse: 67.4228
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[852]	train's rmse: 37.0987	valid's rmse: 67.1978
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[859]	train's rmse: 36.9794	valid's rmse: 67.1293
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[862]	train's rmse: 36.8568	valid's rmse: 67.0314
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[885]	train's rmse: 36.4651	valid's rmse: 66.8105
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[920]	train's rmse: 35.7741	valid's rmse: 66.5067
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[952]	train's rmse: 35.1836	valid's rmse: 66.1281
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[954]	train's rmse: 35.1447	valid's rmse: 66.1062
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[959]	train's rmse: 35.0117	valid's rmse: 65.993
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[978]	train's rmse: 34.7463	valid's rmse: 65.8342
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[980]	train's rmse: 34.7287	valid's rmse: 65.8213
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[1000]	train's rmse: 34.376	valid's rmse: 65.6126
[1001]	train's rmse: 34.3674	valid's rmse: 65.6088
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[1020]	train's rmse: 34.0632	valid's rmse: 65.4856
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[1024]	train's rmse: 34.0067	valid's rmse: 65.4596
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[1080]	train's rmse: 33.1097	valid's rmse: 64.9286
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[1100]	train's rmse: 32.8254	valid's rmse: 64.7725
[1101]	train's rmse: 32.8064	valid's rmse: 64.7652
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[1103]	train's rmse: 32.7891	valid's rmse: 64.7567
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[1111]	train's rmse: 32.6594	valid's rmse: 64.7175
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[1120]	train's rmse: 32.5031	valid's rmse: 64.6408
[1121]	train's rmse: 32.4606	valid's rmse: 64.5948
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[1123]	train's rmse: 32.4227	valid's rmse: 64.5518
[1124]	train's rmse: 32.3923	valid's rmse: 64.5029
[1125]	train's rmse: 32.3624	valid's rmse: 64.4939
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[1765]	train's rmse: 26.1159	valid's rmse: 61.404
[1766]	train's rmse: 26.0996	valid's rmse: 61.3787
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[1768]	train's rmse: 26.0881	valid's rmse: 61.3745
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[1770]	train's rmse: 26.0756	valid's rmse: 61.3701
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[1772]	train's rmse: 26.0647	valid's rmse: 61.3622
[1773]	train's rmse: 26.058	valid's rmse: 61.3598
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[1775]	train's rmse: 26.0473	valid's rmse: 61.355
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[1780]	train's rmse: 26.0158	valid's rmse: 61.3404
[1781]	train's rmse: 26.0124	valid's rmse: 61.3395
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[1784]	train's rmse: 25.9967	valid's rmse: 61.3344
[1785]	train's rmse: 25.992	valid's rmse: 61.3327
[1786]	train's rmse: 25.9796	valid's rmse: 61.3287
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[1788]	train's rmse: 25.9648	valid's rmse: 61.3223
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[1790]	train's rmse: 25.9598	valid's rmse: 61.3199
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[1796]	train's rmse: 25.9211	valid's rmse: 61.2982
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[1798]	train's rmse: 25.9095	valid's rmse: 61.2927
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[1800]	train's rmse: 25.8898	valid's rmse: 61.289
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[1802]	train's rmse: 25.8824	valid's rmse: 61.2867
[1803]	train's rmse: 25.8681	valid's rmse: 61.2793
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[1805]	train's rmse: 25.8465	valid's rmse: 61.2805
[1806]	train's rmse: 25.8389	valid's rmse: 61.2791
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[1811]	train's rmse: 25.8204	valid's rmse: 61.273
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[1816]	train's rmse: 25.7841	valid's rmse: 61.257
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[1825]	train's rmse: 25.7067	valid's rmse: 61.236
[1826]	train's rmse: 25.691	valid's rmse: 61.2164
[1827]	train's rmse: 25.6867	valid's rmse: 61.215
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[1852]	train's rmse: 25.5326	valid's rmse: 61.1567
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[1854]	train's rmse: 25.5067	valid's rmse: 61.1491
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[1900]	train's rmse: 25.2017	valid's rmse: 60.9982
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[1907]	train's rmse: 25.1627	valid's rmse: 60.989
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[1911]	train's rmse: 25.1391	valid's rmse: 60.9833
[1912]	train's rmse: 25.1344	valid's rmse: 60.981
[1913]	train's rmse: 25.1296	valid's rmse: 60.9786
[1914]	train's rmse: 25.1198	valid's rmse: 60.9745
[1915]	train's rmse: 25.1071	valid's rmse: 60.9695
[1916]	train's rmse: 25.1037	valid's rmse: 60.9691
[1917]	train's rmse: 25.0999	valid's rmse: 60.9681
[1918]	train's rmse: 25.0948	valid's rmse: 60.9647
[1919]	train's rmse: 25.088	valid's rmse: 60.9597
[1920]	train's rmse: 25.0758	valid's rmse: 60.9582
[1921]	train's rmse: 25.0695	valid's rmse: 60.9548
[1922]	train's rmse: 25.0672	valid's rmse: 60.9554
[1923]	train's rmse: 25.061	valid's rmse: 60.9517
[1924]	train's rmse: 25.0588	valid's rmse: 60.951
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[1927]	train's rmse: 25.0351	valid's rmse: 60.9495
[1928]	train's rmse: 25.0255	valid's rmse: 60.9453
[1929]	train's rmse: 25.0213	valid's rmse: 60.9435
[1930]	train's rmse: 25.0142	valid's rmse: 60.939
[1931]	train's rmse: 25.0079	valid's rmse: 60.9362
[1932]	train's rmse: 24.9985	valid's rmse: 60.9332
[1933]	train's rmse: 24.9934	valid's rmse: 60.9311
[1934]	train's rmse: 24.9883	valid's rmse: 60.9287
[1935]	train's rmse: 24.9846	valid's rmse: 60.9281
[1936]	train's rmse: 24.9787	valid's rmse: 60.9255
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[1938]	train's rmse: 24.9711	valid's rmse: 60.9218
[1939]	train's rmse: 24.9668	valid's rmse: 60.9199
[1940]	train's rmse: 24.9625	valid's rmse: 60.9181
[1941]	train's rmse: 24.9575	valid's rmse: 60.9167
[1942]	train's rmse: 24.9376	valid's rmse: 60.9094
[1943]	train's rmse: 24.9334	valid's rmse: 60.9085
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[1947]	train's rmse: 24.911	valid's rmse: 60.8967
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[1952]	train's rmse: 24.8793	valid's rmse: 60.8836
[1953]	train's rmse: 24.8751	valid's rmse: 60.8811
[1954]	train's rmse: 24.8613	valid's rmse: 60.8755
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[1956]	train's rmse: 24.8529	valid's rmse: 60.8716
[1957]	train's rmse: 24.8481	valid's rmse: 60.8699
[1958]	train's rmse: 24.845	valid's rmse: 60.8676
[1959]	train's rmse: 24.8397	valid's rmse: 60.867
[1960]	train's rmse: 24.8355	valid's rmse: 60.8652
[1961]	train's rmse: 24.8286	valid's rmse: 60.8694
[1962]	train's rmse: 24.8231	valid's rmse: 60.8669
[1963]	train's rmse: 24.8187	valid's rmse: 60.866
[1964]	train's rmse: 24.8127	valid's rmse: 60.8635
[1965]	train's rmse: 24.8093	valid's rmse: 60.8622
[1966]	train's rmse: 24.8043	valid's rmse: 60.8608
[1967]	train's rmse: 24.8028	valid's rmse: 60.8601
[1968]	train's rmse: 24.7902	valid's rmse: 60.8526
[1969]	train's rmse: 24.785	valid's rmse: 60.8559
[1970]	train's rmse: 24.7806	valid's rmse: 60.8546
[1971]	train's rmse: 24.778	valid's rmse: 60.8536
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[1973]	train's rmse: 24.7688	valid's rmse: 60.8498
[1974]	train's rmse: 24.7637	valid's rmse: 60.8456
[1975]	train's rmse: 24.7581	valid's rmse: 60.8576
[1976]	train's rmse: 24.7542	valid's rmse: 60.857
[1977]	train's rmse: 24.7462	valid's rmse: 60.852
[1978]	train's rmse: 24.7412	valid's rmse: 60.8465
[1979]	train's rmse: 24.7258	valid's rmse: 60.824
[1980]	train's rmse: 24.7219	valid's rmse: 60.8229
[1981]	train's rmse: 24.7189	valid's rmse: 60.8241
[1982]	train's rmse: 24.7075	valid's rmse: 60.8216
[1983]	train's rmse: 24.7005	valid's rmse: 60.8192
[1984]	train's rmse: 24.6993	valid's rmse: 60.8189
[1985]	train's rmse: 24.6883	valid's rmse: 60.8138
[1986]	train's rmse: 24.681	valid's rmse: 60.8149
[1987]	train's rmse: 24.6765	valid's rmse: 60.8117
[1988]	train's rmse: 24.6718	valid's rmse: 60.8105
[1989]	train's rmse: 24.6677	valid's rmse: 60.8094
[1990]	train's rmse: 24.663	valid's rmse: 60.8074
[1991]	train's rmse: 24.6585	valid's rmse: 60.8064
[1992]	train's rmse: 24.6557	valid's rmse: 60.8053
[1993]	train's rmse: 24.6525	valid's rmse: 60.8047
[1994]	train's rmse: 24.6323	valid's rmse: 60.774
[1995]	train's rmse: 24.6304	valid's rmse: 60.7734
[1996]	train's rmse: 24.6281	valid's rmse: 60.7729
[1997]	train's rmse: 24.6217	valid's rmse: 60.7707
[1998]	train's rmse: 24.6146	valid's rmse: 60.7675
[1999]	train's rmse: 24.6095	valid's rmse: 60.7655
[2000]	train's rmse: 24.6026	valid's rmse: 60.7594
[2001]	train's rmse: 24.5994	valid's rmse: 60.7576
[2002]	train's rmse: 24.5944	valid's rmse: 60.7575
[2003]	train's rmse: 24.5788	valid's rmse: 60.7513
[2004]	train's rmse: 24.5673	valid's rmse: 60.7466
[2005]	train's rmse: 24.5638	valid's rmse: 60.7453
[2006]	train's rmse: 24.5555	valid's rmse: 60.7407
[2007]	train's rmse: 24.5508	valid's rmse: 60.7382
[2008]	train's rmse: 24.5425	valid's rmse: 60.7339
[2009]	train's rmse: 24.5275	valid's rmse: 60.7278
[2010]	train's rmse: 24.5252	valid's rmse: 60.7269
[2011]	train's rmse: 24.5212	valid's rmse: 60.7254
[2012]	train's rmse: 24.502	valid's rmse: 60.7237
[2013]	train's rmse: 24.5007	valid's rmse: 60.7233
[2014]	train's rmse: 24.4946	valid's rmse: 60.7214
[2015]	train's rmse: 24.4898	valid's rmse: 60.7221
[2016]	train's rmse: 24.4856	valid's rmse: 60.7204
[2017]	train's rmse: 24.4817	valid's rmse: 60.7179
[2018]	train's rmse: 24.4772	valid's rmse: 60.716
[2019]	train's rmse: 24.4655	valid's rmse: 60.7095
[2020]	train's rmse: 24.4565	valid's rmse: 60.7112
[2021]	train's rmse: 24.4359	valid's rmse: 60.6968
[2022]	train's rmse: 24.4285	valid's rmse: 60.6937
[2023]	train's rmse: 24.4136	valid's rmse: 60.7023
[2024]	train's rmse: 24.4116	valid's rmse: 60.7015
[2025]	train's rmse: 24.401	valid's rmse: 60.6955
[2026]	train's rmse: 24.3934	valid's rmse: 60.692
[2027]	train's rmse: 24.3865	valid's rmse: 60.6957
[2028]	train's rmse: 24.3738	valid's rmse: 60.6879
[2029]	train's rmse: 24.3619	valid's rmse: 60.6691
[2030]	train's rmse: 24.356	valid's rmse: 60.6681
[2031]	train's rmse: 24.3504	valid's rmse: 60.6652
[2032]	train's rmse: 24.3487	valid's rmse: 60.6648
[2033]	train's rmse: 24.3443	valid's rmse: 60.663
[2034]	train's rmse: 24.3401	valid's rmse: 60.6603
[2035]	train's rmse: 24.3291	valid's rmse: 60.6542
[2036]	train's rmse: 24.3251	valid's rmse: 60.6529
[2037]	train's rmse: 24.3224	valid's rmse: 60.6519
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[2050]	train's rmse: 24.2381	valid's rmse: 60.6145
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[2057]	train's rmse: 24.1795	valid's rmse: 60.5888
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[2061]	train's rmse: 24.1593	valid's rmse: 60.5818
[2062]	train's rmse: 24.1545	valid's rmse: 60.5802
[2063]	train's rmse: 24.1525	valid's rmse: 60.5806
[2064]	train's rmse: 24.1482	valid's rmse: 60.5804
[2065]	train's rmse: 24.1441	valid's rmse: 60.5788
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[2067]	train's rmse: 24.134	valid's rmse: 60.5754
[2068]	train's rmse: 24.1271	valid's rmse: 60.5781
[2069]	train's rmse: 24.1212	valid's rmse: 60.5751
[2070]	train's rmse: 24.1173	valid's rmse: 60.5731
[2071]	train's rmse: 24.1141	valid's rmse: 60.5717
[2072]	train's rmse: 24.1108	valid's rmse: 60.5703
[2073]	train's rmse: 24.1098	valid's rmse: 60.5705
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[4276]	train's rmse: 16.82	valid's rmse: 57.8598
[4277]	train's rmse: 16.8186	valid's rmse: 57.8598
[4278]	train's rmse: 16.8175	valid's rmse: 57.8596
[4279]	train's rmse: 16.8157	valid's rmse: 57.8589
[4280]	train's rmse: 16.813	valid's rmse: 57.858
[4281]	train's rmse: 16.8104	valid's rmse: 57.8567
[4282]	train's rmse: 16.8081	valid's rmse: 57.8576
[4283]	train's rmse: 16.8061	valid's rmse: 57.8569
[4284]	train's rmse: 16.8034	valid's rmse: 57.8561
[4285]	train's rmse: 16.8011	valid's rmse: 57.8541
[4286]	train's rmse: 16.7998	valid's rmse: 57.8539
[4287]	train's rmse: 16.7961	valid's rmse: 57.8528
[4288]	train's rmse: 16.7938	valid's rmse: 57.8537
[4289]	train's rmse: 16.7925	valid's rmse: 57.8536
[4290]	train's rmse: 16.7892	valid's rmse: 57.8524
[4291]	train's rmse: 16.7874	valid's rmse: 57.8518
[4292]	train's rmse: 16.7865	valid's rmse: 57.8518
[4293]	train's rmse: 16.7859	valid's rmse: 57.8515
[4294]	train's rmse: 16.7843	valid's rmse: 57.8512
[4295]	train's rmse: 16.7839	valid's rmse: 57.8511
[4296]	train's rmse: 16.78	valid's rmse: 57.8504
[4297]	train's rmse: 16.7776	valid's rmse: 57.8498
[4298]	train's rmse: 16.7725	valid's rmse: 57.8416
[4299]	train's rmse: 16.767	valid's rmse: 57.8384
[4300]	train's rmse: 16.7657	valid's rmse: 57.838
[4301]	train's rmse: 16.7642	valid's rmse: 57.8376
[4302]	train's rmse: 16.7638	valid's rmse: 57.8375
[4303]	train's rmse: 16.7631	valid's rmse: 57.8374
[4304]	train's rmse: 16.7627	valid's rmse: 57.8372
[4305]	train's rmse: 16.7612	valid's rmse: 57.8367
[4306]	train's rmse: 16.7596	valid's rmse: 57.8363
[4307]	train's rmse: 16.7576	valid's rmse: 57.8283
[4308]	train's rmse: 16.7549	valid's rmse: 57.8231
[4309]	train's rmse: 16.7509	valid's rmse: 57.8215
[4310]	train's rmse: 16.7474	valid's rmse: 57.8252
[4311]	train's rmse: 16.7468	valid's rmse: 57.8251
[4312]	train's rmse: 16.7437	valid's rmse: 57.8239
[4313]	train's rmse: 16.7406	valid's rmse: 57.8221
[4314]	train's rmse: 16.7398	valid's rmse: 57.8219
[4315]	train's rmse: 16.7392	valid's rmse: 57.8217
[4316]	train's rmse: 16.7381	valid's rmse: 57.8217
[4317]	train's rmse: 16.737	valid's rmse: 57.8215
[4318]	train's rmse: 16.7357	valid's rmse: 57.8211
[4319]	train's rmse: 16.7346	valid's rmse: 57.8207
[4320]	train's rmse: 16.7331	valid's rmse: 57.8204
[4321]	train's rmse: 16.7288	valid's rmse: 57.8191
[4322]	train's rmse: 16.7272	valid's rmse: 57.8181
[4323]	train's rmse: 16.7246	valid's rmse: 57.8173
[4324]	train's rmse: 16.7235	valid's rmse: 57.8171
[4325]	train's rmse: 16.723	valid's rmse: 57.8173
[4326]	train's rmse: 16.7185	valid's rmse: 57.8038
[4327]	train's rmse: 16.7167	valid's rmse: 57.8031
[4328]	train's rmse: 16.7146	valid's rmse: 57.8023
[4329]	train's rmse: 16.7114	valid's rmse: 57.801
[4330]	train's rmse: 16.7095	valid's rmse: 57.8004
[4331]	train's rmse: 16.7086	valid's rmse: 57.8001
[4332]	train's rmse: 16.7082	valid's rmse: 57.8
[4333]	train's rmse: 16.7067	valid's rmse: 57.8004
[4334]	train's rmse: 16.7027	valid's rmse: 57.8004
[4335]	train's rmse: 16.7003	valid's rmse: 57.7957
[4336]	train's rmse: 16.6998	valid's rmse: 57.7959
[4337]	train's rmse: 16.6986	valid's rmse: 57.7962
[4338]	train's rmse: 16.6972	valid's rmse: 57.7959
[4339]	train's rmse: 16.6968	valid's rmse: 57.7958
[4340]	train's rmse: 16.6955	valid's rmse: 57.7955
[4341]	train's rmse: 16.6939	valid's rmse: 57.7946
[4342]	train's rmse: 16.6908	valid's rmse: 57.7943
[4343]	train's rmse: 16.6894	valid's rmse: 57.7942
[4344]	train's rmse: 16.6885	valid's rmse: 57.794
[4345]	train's rmse: 16.6881	valid's rmse: 57.7939
[4346]	train's rmse: 16.687	valid's rmse: 57.7938
[4347]	train's rmse: 16.6859	valid's rmse: 57.7937
[4348]	train's rmse: 16.6833	valid's rmse: 57.7928
[4349]	train's rmse: 16.6824	valid's rmse: 57.7925
[4350]	train's rmse: 16.6813	valid's rmse: 57.7922
[4351]	train's rmse: 16.6803	valid's rmse: 57.7917
[4352]	train's rmse: 16.6789	valid's rmse: 57.7912
[4353]	train's rmse: 16.6769	valid's rmse: 57.7905
[4354]	train's rmse: 16.675	valid's rmse: 57.7896
[4355]	train's rmse: 16.6746	valid's rmse: 57.7895
[4356]	train's rmse: 16.6735	valid's rmse: 57.7889
[4357]	train's rmse: 16.6716	valid's rmse: 57.7883
[4358]	train's rmse: 16.6681	valid's rmse: 57.7874
[4359]	train's rmse: 16.6643	valid's rmse: 57.7861
[4360]	train's rmse: 16.6628	valid's rmse: 57.7857
[4361]	train's rmse: 16.658	valid's rmse: 57.7823
[4362]	train's rmse: 16.6575	valid's rmse: 57.7821
[4363]	train's rmse: 16.6547	valid's rmse: 57.7808
[4364]	train's rmse: 16.6535	valid's rmse: 57.7805
[4365]	train's rmse: 16.6502	valid's rmse: 57.7834
[4366]	train's rmse: 16.6497	valid's rmse: 57.7833
[4367]	train's rmse: 16.6476	valid's rmse: 57.7834
[4368]	train's rmse: 16.6462	valid's rmse: 57.7833
[4369]	train's rmse: 16.6454	valid's rmse: 57.7833
[4370]	train's rmse: 16.6443	valid's rmse: 57.7832
[4371]	train's rmse: 16.6437	valid's rmse: 57.7832
[4372]	train's rmse: 16.6431	valid's rmse: 57.7832
[4373]	train's rmse: 16.6391	valid's rmse: 57.7822
[4374]	train's rmse: 16.6367	valid's rmse: 57.7819
Early stopping, best iteration is:
[4364]	train's rmse: 16.6535	valid's rmse: 57.7805
Fold : 2
[1]	train's rmse: 297.577	valid's rmse: 299.696
Training until validation scores don't improve for 10 rounds.
[2]	train's rmse: 282.84	valid's rmse: 286.469
[3]	train's rmse: 270.014	valid's rmse: 274.572
[4]	train's rmse: 257.977	valid's rmse: 263.098
[5]	train's rmse: 248.292	valid's rmse: 254.316
[6]	train's rmse: 239.141	valid's rmse: 245.421
[7]	train's rmse: 230.367	valid's rmse: 237.562
[8]	train's rmse: 223.05	valid's rmse: 231.407
[9]	train's rmse: 215.995	valid's rmse: 224.7
[10]	train's rmse: 208.673	valid's rmse: 218.391
[11]	train's rmse: 202.504	valid's rmse: 212.798
[12]	train's rmse: 196.461	valid's rmse: 207.997
[13]	train's rmse: 190.868	valid's rmse: 203.77
[14]	train's rmse: 186.99	valid's rmse: 200.951
[15]	train's rmse: 182.835	valid's rmse: 196.95
[16]	train's rmse: 178.555	valid's rmse: 193.727
[17]	train's rmse: 175.165	valid's rmse: 191.268
[18]	train's rmse: 172.04	valid's rmse: 188.078
[19]	train's rmse: 168.7	valid's rmse: 184.713
[20]	train's rmse: 165.544	valid's rmse: 182.904
[21]	train's rmse: 162.842	valid's rmse: 181.244
[22]	train's rmse: 160.186	valid's rmse: 179.452
[23]	train's rmse: 158.089	valid's rmse: 177.848
[24]	train's rmse: 155.561	valid's rmse: 175.88
[25]	train's rmse: 153.537	valid's rmse: 174.738
[26]	train's rmse: 151.927	valid's rmse: 173.708
[27]	train's rmse: 149.993	valid's rmse: 172.287
[28]	train's rmse: 148.293	valid's rmse: 170.747
[29]	train's rmse: 146.356	valid's rmse: 169.122
[30]	train's rmse: 144.709	valid's rmse: 167.629
[31]	train's rmse: 143.249	valid's rmse: 166.62
[32]	train's rmse: 141.702	valid's rmse: 165.537
[33]	train's rmse: 140.394	valid's rmse: 164.656
[34]	train's rmse: 139.011	valid's rmse: 164.141
[35]	train's rmse: 137.213	valid's rmse: 162.625
[36]	train's rmse: 135.922	valid's rmse: 161.448
[37]	train's rmse: 134.71	valid's rmse: 160.513
[38]	train's rmse: 133.738	valid's rmse: 159.555
[39]	train's rmse: 132.513	valid's rmse: 158.326
[40]	train's rmse: 131.18	valid's rmse: 157.532
[41]	train's rmse: 129.986	valid's rmse: 156.746
[42]	train's rmse: 129.105	valid's rmse: 155.978
[43]	train's rmse: 127.916	valid's rmse: 155.274
[44]	train's rmse: 126.809	valid's rmse: 154.598
[45]	train's rmse: 126.038	valid's rmse: 153.871
[46]	train's rmse: 125.259	valid's rmse: 153.33
[47]	train's rmse: 124.495	valid's rmse: 152.697
[48]	train's rmse: 123.763	valid's rmse: 152.121
[49]	train's rmse: 122.777	valid's rmse: 151.519
[50]	train's rmse: 122.137	valid's rmse: 150.923
[51]	train's rmse: 121.281	valid's rmse: 150.459
[52]	train's rmse: 120.49	valid's rmse: 150.383
[53]	train's rmse: 119.683	valid's rmse: 149.908
[54]	train's rmse: 119.024	valid's rmse: 149.356
[55]	train's rmse: 118.405	valid's rmse: 148.866
[56]	train's rmse: 117.804	valid's rmse: 148.44
[57]	train's rmse: 117.338	valid's rmse: 148.014
[58]	train's rmse: 116.375	valid's rmse: 147.218
[59]	train's rmse: 115.796	valid's rmse: 146.864
[60]	train's rmse: 115.336	valid's rmse: 146.529
[61]	train's rmse: 114.765	valid's rmse: 146.235
[62]	train's rmse: 114.036	valid's rmse: 145.549
[63]	train's rmse: 113.661	valid's rmse: 145.252
[64]	train's rmse: 113.086	valid's rmse: 144.99
[65]	train's rmse: 112.545	valid's rmse: 144.682
[66]	train's rmse: 112.016	valid's rmse: 144.486
[67]	train's rmse: 111.078	valid's rmse: 143.892
[68]	train's rmse: 110.766	valid's rmse: 143.607
[69]	train's rmse: 110.426	valid's rmse: 143.346
[70]	train's rmse: 110.02	valid's rmse: 143.082
[71]	train's rmse: 109.685	valid's rmse: 142.909
[72]	train's rmse: 109.433	valid's rmse: 142.772
[73]	train's rmse: 108.524	valid's rmse: 142.217
[74]	train's rmse: 108.064	valid's rmse: 141.872
[75]	train's rmse: 107.666	valid's rmse: 141.578
[76]	train's rmse: 106.903	valid's rmse: 141.058
[77]	train's rmse: 106.417	valid's rmse: 140.607
[78]	train's rmse: 106.167	valid's rmse: 140.453
[79]	train's rmse: 105.824	valid's rmse: 140.194
[80]	train's rmse: 105.601	valid's rmse: 140.033
[81]	train's rmse: 104.815	valid's rmse: 139.655
[82]	train's rmse: 104.549	valid's rmse: 139.543
[83]	train's rmse: 103.903	valid's rmse: 139.134
[84]	train's rmse: 103.218	valid's rmse: 138.741
[85]	train's rmse: 102.883	valid's rmse: 138.455
[86]	train's rmse: 102.7	valid's rmse: 138.3
[87]	train's rmse: 102.266	valid's rmse: 138.063
[88]	train's rmse: 101.856	valid's rmse: 137.822
[89]	train's rmse: 101.616	valid's rmse: 137.67
[90]	train's rmse: 101.132	valid's rmse: 137.345
[91]	train's rmse: 100.898	valid's rmse: 137.165
[92]	train's rmse: 100.657	valid's rmse: 136.936
[93]	train's rmse: 100.206	valid's rmse: 136.46
[94]	train's rmse: 99.8382	valid's rmse: 136.196
[95]	train's rmse: 99.4417	valid's rmse: 136.132
[96]	train's rmse: 98.7167	valid's rmse: 135.746
[97]	train's rmse: 98.3467	valid's rmse: 135.438
[98]	train's rmse: 97.9582	valid's rmse: 135.31
[99]	train's rmse: 97.1508	valid's rmse: 134.872
[100]	train's rmse: 96.9924	valid's rmse: 134.771
[101]	train's rmse: 96.3424	valid's rmse: 134.555
[102]	train's rmse: 95.8081	valid's rmse: 134.303
[103]	train's rmse: 95.4	valid's rmse: 134.02
[104]	train's rmse: 95.2215	valid's rmse: 133.888
[105]	train's rmse: 94.6506	valid's rmse: 133.655
[106]	train's rmse: 94.2041	valid's rmse: 133.572
[107]	train's rmse: 93.8094	valid's rmse: 133.242
[108]	train's rmse: 93.3913	valid's rmse: 132.877
[109]	train's rmse: 92.9197	valid's rmse: 132.55
[110]	train's rmse: 92.762	valid's rmse: 132.394
[111]	train's rmse: 92.1095	valid's rmse: 132.007
[112]	train's rmse: 91.963	valid's rmse: 131.94
[113]	train's rmse: 91.6595	valid's rmse: 131.789
[114]	train's rmse: 91.3245	valid's rmse: 131.432
[115]	train's rmse: 91.041	valid's rmse: 131.209
[116]	train's rmse: 90.7298	valid's rmse: 130.932
[117]	train's rmse: 90.349	valid's rmse: 130.724
[118]	train's rmse: 89.9822	valid's rmse: 130.698
[119]	train's rmse: 89.5799	valid's rmse: 130.501
[120]	train's rmse: 89.4112	valid's rmse: 130.431
[121]	train's rmse: 89.0615	valid's rmse: 130.127
[122]	train's rmse: 88.6438	valid's rmse: 130.028
[123]	train's rmse: 88.4155	valid's rmse: 129.867
[124]	train's rmse: 88.0674	valid's rmse: 129.762
[125]	train's rmse: 87.8121	valid's rmse: 129.588
[126]	train's rmse: 87.6703	valid's rmse: 129.49
[127]	train's rmse: 87.5761	valid's rmse: 129.445
[128]	train's rmse: 87.2122	valid's rmse: 129.219
[129]	train's rmse: 87.0001	valid's rmse: 129.12
[130]	train's rmse: 86.7343	valid's rmse: 129.057
[131]	train's rmse: 86.571	valid's rmse: 128.896
[132]	train's rmse: 86.4523	valid's rmse: 128.832
[133]	train's rmse: 86.3381	valid's rmse: 128.751
[134]	train's rmse: 86.172	valid's rmse: 128.615
[135]	train's rmse: 85.8941	valid's rmse: 128.376
[136]	train's rmse: 85.707	valid's rmse: 128.219
[137]	train's rmse: 85.3624	valid's rmse: 127.997
[138]	train's rmse: 85.1758	valid's rmse: 127.879
[139]	train's rmse: 84.9714	valid's rmse: 127.776
[140]	train's rmse: 84.5052	valid's rmse: 127.725
[141]	train's rmse: 84.2538	valid's rmse: 127.668
[142]	train's rmse: 84.1063	valid's rmse: 127.638
[143]	train's rmse: 83.9611	valid's rmse: 127.578
[144]	train's rmse: 83.8157	valid's rmse: 127.427
[145]	train's rmse: 83.5776	valid's rmse: 127.317
[146]	train's rmse: 83.4796	valid's rmse: 127.244
[147]	train's rmse: 83.3721	valid's rmse: 127.185
[148]	train's rmse: 83.2199	valid's rmse: 127.09
[149]	train's rmse: 83.1335	valid's rmse: 127.038
[150]	train's rmse: 82.875	valid's rmse: 126.856
[151]	train's rmse: 82.6298	valid's rmse: 126.623
[152]	train's rmse: 82.3843	valid's rmse: 126.495
[153]	train's rmse: 82.2704	valid's rmse: 126.448
[154]	train's rmse: 81.8094	valid's rmse: 126.304
[155]	train's rmse: 81.6939	valid's rmse: 126.204
[156]	train's rmse: 81.5186	valid's rmse: 126.036
[157]	train's rmse: 81.3957	valid's rmse: 125.942
[158]	train's rmse: 81.2343	valid's rmse: 125.78
[159]	train's rmse: 80.9649	valid's rmse: 125.549
[160]	train's rmse: 80.7463	valid's rmse: 125.416
[161]	train's rmse: 80.521	valid's rmse: 125.28
[162]	train's rmse: 80.4472	valid's rmse: 125.237
[163]	train's rmse: 80.3334	valid's rmse: 125.185
[164]	train's rmse: 80.127	valid's rmse: 125.094
[165]	train's rmse: 80.0404	valid's rmse: 125.037
[166]	train's rmse: 79.6826	valid's rmse: 124.68
[167]	train's rmse: 79.558	valid's rmse: 124.631
[168]	train's rmse: 79.3051	valid's rmse: 124.515
[169]	train's rmse: 79.1326	valid's rmse: 124.349
[170]	train's rmse: 78.7902	valid's rmse: 124.214
[171]	train's rmse: 78.3876	valid's rmse: 123.968
[172]	train's rmse: 78.2898	valid's rmse: 123.919
[173]	train's rmse: 78.0623	valid's rmse: 123.791
[174]	train's rmse: 77.9114	valid's rmse: 123.715
[175]	train's rmse: 77.7859	valid's rmse: 123.605
[176]	train's rmse: 77.4271	valid's rmse: 123.285
[177]	train's rmse: 77.1205	valid's rmse: 123.223
[178]	train's rmse: 76.9259	valid's rmse: 123.186
[179]	train's rmse: 76.3565	valid's rmse: 122.764
[180]	train's rmse: 76.2693	valid's rmse: 122.707
[181]	train's rmse: 76.1514	valid's rmse: 122.62
[182]	train's rmse: 75.9934	valid's rmse: 122.544
[183]	train's rmse: 75.8932	valid's rmse: 122.47
[184]	train's rmse: 75.6993	valid's rmse: 122.341
[185]	train's rmse: 75.5858	valid's rmse: 122.312
[186]	train's rmse: 75.1562	valid's rmse: 122.047
[187]	train's rmse: 74.9867	valid's rmse: 121.873
[188]	train's rmse: 74.8938	valid's rmse: 121.81
[189]	train's rmse: 74.8027	valid's rmse: 121.754
[190]	train's rmse: 74.661	valid's rmse: 121.68
[191]	train's rmse: 74.5924	valid's rmse: 121.632
[192]	train's rmse: 74.4588	valid's rmse: 121.632
[193]	train's rmse: 74.1811	valid's rmse: 121.301
[194]	train's rmse: 73.8606	valid's rmse: 121.246
[195]	train's rmse: 73.7357	valid's rmse: 121.199
[196]	train's rmse: 73.6765	valid's rmse: 121.182
[197]	train's rmse: 73.5933	valid's rmse: 121.158
[198]	train's rmse: 73.4932	valid's rmse: 121.08
[199]	train's rmse: 73.4326	valid's rmse: 121.059
[200]	train's rmse: 73.3111	valid's rmse: 120.988
[201]	train's rmse: 72.9924	valid's rmse: 120.886
[202]	train's rmse: 72.7255	valid's rmse: 120.821
[203]	train's rmse: 72.3852	valid's rmse: 120.526
[204]	train's rmse: 72.2811	valid's rmse: 120.451
[205]	train's rmse: 72.0942	valid's rmse: 120.422
[206]	train's rmse: 71.9597	valid's rmse: 120.336
[207]	train's rmse: 71.6779	valid's rmse: 120.302
[208]	train's rmse: 71.5125	valid's rmse: 120.192
[209]	train's rmse: 71.2549	valid's rmse: 120.226
[210]	train's rmse: 71.1554	valid's rmse: 120.177
[211]	train's rmse: 71.1063	valid's rmse: 120.146
[212]	train's rmse: 71.0125	valid's rmse: 120.066
[213]	train's rmse: 70.8892	valid's rmse: 119.987
[214]	train's rmse: 70.8137	valid's rmse: 119.97
[215]	train's rmse: 70.74	valid's rmse: 119.932
[216]	train's rmse: 70.4758	valid's rmse: 119.678
[217]	train's rmse: 70.3735	valid's rmse: 119.601
[218]	train's rmse: 70.3211	valid's rmse: 119.571
[219]	train's rmse: 70.2427	valid's rmse: 119.5
[220]	train's rmse: 70.1134	valid's rmse: 119.395
[221]	train's rmse: 69.8848	valid's rmse: 119.354
[222]	train's rmse: 69.842	valid's rmse: 119.328
[223]	train's rmse: 69.4742	valid's rmse: 119.27
[224]	train's rmse: 69.3478	valid's rmse: 119.168
[225]	train's rmse: 69.1639	valid's rmse: 119.146
[226]	train's rmse: 69.0155	valid's rmse: 119.092
[227]	train's rmse: 68.7345	valid's rmse: 118.981
[228]	train's rmse: 68.5694	valid's rmse: 118.92
[229]	train's rmse: 68.3352	valid's rmse: 118.889
[230]	train's rmse: 68.2061	valid's rmse: 118.716
[231]	train's rmse: 68.0191	valid's rmse: 118.494
[232]	train's rmse: 67.9562	valid's rmse: 118.465
[233]	train's rmse: 67.8861	valid's rmse: 118.432
[234]	train's rmse: 67.692	valid's rmse: 118.278
[235]	train's rmse: 67.5893	valid's rmse: 118.156
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[555]	train's rmse: 47.3404	valid's rmse: 108.431
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[561]	train's rmse: 47.0543	valid's rmse: 108.356
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[572]	train's rmse: 46.7724	valid's rmse: 108.254
[573]	train's rmse: 46.6416	valid's rmse: 108.095
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[576]	train's rmse: 46.4975	valid's rmse: 108.075
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[578]	train's rmse: 46.4668	valid's rmse: 108.062
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[580]	train's rmse: 46.4311	valid's rmse: 108.044
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[588]	train's rmse: 46.2025	valid's rmse: 107.999
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[600]	train's rmse: 45.8226	valid's rmse: 107.716
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[620]	train's rmse: 45.3258	valid's rmse: 107.433
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[629]	train's rmse: 44.8386	valid's rmse: 107.291
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[640]	train's rmse: 44.4311	valid's rmse: 107.164
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[648]	train's rmse: 44.2429	valid's rmse: 107.096
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[668]	train's rmse: 43.7394	valid's rmse: 106.862
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[680]	train's rmse: 43.4055	valid's rmse: 106.752
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[725]	train's rmse: 42.1458	valid's rmse: 106.218
[726]	train's rmse: 42.1311	valid's rmse: 106.214
[727]	train's rmse: 42.1086	valid's rmse: 106.204
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[740]	train's rmse: 41.6984	valid's rmse: 105.958
[741]	train's rmse: 41.68	valid's rmse: 105.946
[742]	train's rmse: 41.676	valid's rmse: 105.946
[743]	train's rmse: 41.6225	valid's rmse: 105.889
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[745]	train's rmse: 41.5781	valid's rmse: 105.865
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[750]	train's rmse: 41.4043	valid's rmse: 105.856
[751]	train's rmse: 41.3867	valid's rmse: 105.848
[752]	train's rmse: 41.3765	valid's rmse: 105.844
[753]	train's rmse: 41.3596	valid's rmse: 105.838
[754]	train's rmse: 41.3401	valid's rmse: 105.831
[755]	train's rmse: 41.2267	valid's rmse: 105.723
[756]	train's rmse: 41.1383	valid's rmse: 105.726
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[758]	train's rmse: 41.1034	valid's rmse: 105.696
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[763]	train's rmse: 41.0146	valid's rmse: 105.659
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[765]	train's rmse: 40.9829	valid's rmse: 105.644
[766]	train's rmse: 40.9517	valid's rmse: 105.621
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[768]	train's rmse: 40.9085	valid's rmse: 105.603
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[802]	train's rmse: 40.1487	valid's rmse: 105.175
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[809]	train's rmse: 39.949	valid's rmse: 105.116
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[818]	train's rmse: 39.7195	valid's rmse: 105.045
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[830]	train's rmse: 39.4232	valid's rmse: 104.993
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[841]	train's rmse: 39.1727	valid's rmse: 104.896
[842]	train's rmse: 39.153	valid's rmse: 104.882
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[882]	train's rmse: 38.3884	valid's rmse: 104.608
[883]	train's rmse: 38.3565	valid's rmse: 104.604
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[885]	train's rmse: 38.2748	valid's rmse: 104.605
[886]	train's rmse: 38.2493	valid's rmse: 104.592
[887]	train's rmse: 38.1978	valid's rmse: 104.601
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[889]	train's rmse: 38.1864	valid's rmse: 104.596
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[892]	train's rmse: 38.0957	valid's rmse: 104.535
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[897]	train's rmse: 37.8986	valid's rmse: 104.531
[898]	train's rmse: 37.8936	valid's rmse: 104.53
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[900]	train's rmse: 37.8682	valid's rmse: 104.521
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[903]	train's rmse: 37.8173	valid's rmse: 104.505
[904]	train's rmse: 37.7556	valid's rmse: 104.472
[905]	train's rmse: 37.7478	valid's rmse: 104.476
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[907]	train's rmse: 37.7165	valid's rmse: 104.465
[908]	train's rmse: 37.7085	valid's rmse: 104.463
[909]	train's rmse: 37.7058	valid's rmse: 104.462
[910]	train's rmse: 37.6901	valid's rmse: 104.454
[911]	train's rmse: 37.594	valid's rmse: 104.414
[912]	train's rmse: 37.5581	valid's rmse: 104.398
[913]	train's rmse: 37.5395	valid's rmse: 104.388
[914]	train's rmse: 37.5345	valid's rmse: 104.388
[915]	train's rmse: 37.5105	valid's rmse: 104.38
[916]	train's rmse: 37.4804	valid's rmse: 104.371
[917]	train's rmse: 37.4576	valid's rmse: 104.376
[918]	train's rmse: 37.443	valid's rmse: 104.37
[919]	train's rmse: 37.4316	valid's rmse: 104.366
[920]	train's rmse: 37.4102	valid's rmse: 104.358
[921]	train's rmse: 37.3827	valid's rmse: 104.347
[922]	train's rmse: 37.3774	valid's rmse: 104.346
[923]	train's rmse: 37.3735	valid's rmse: 104.345
[924]	train's rmse: 37.36	valid's rmse: 104.341
[925]	train's rmse: 37.3481	valid's rmse: 104.337
[926]	train's rmse: 37.3315	valid's rmse: 104.333
[927]	train's rmse: 37.3254	valid's rmse: 104.332
[928]	train's rmse: 37.3205	valid's rmse: 104.331
[929]	train's rmse: 37.2976	valid's rmse: 104.335
[930]	train's rmse: 37.29	valid's rmse: 104.333
[931]	train's rmse: 37.2639	valid's rmse: 104.325
[932]	train's rmse: 37.2489	valid's rmse: 104.322
[933]	train's rmse: 37.2311	valid's rmse: 104.317
[934]	train's rmse: 37.2249	valid's rmse: 104.312
[935]	train's rmse: 37.1757	valid's rmse: 104.316
[936]	train's rmse: 37.1665	valid's rmse: 104.311
[937]	train's rmse: 37.1408	valid's rmse: 104.298
[938]	train's rmse: 37.1289	valid's rmse: 104.294
[939]	train's rmse: 37.1153	valid's rmse: 104.286
[940]	train's rmse: 37.1059	valid's rmse: 104.286
[941]	train's rmse: 37.0937	valid's rmse: 104.282
[942]	train's rmse: 37.077	valid's rmse: 104.276
[943]	train's rmse: 37.0681	valid's rmse: 104.272
[944]	train's rmse: 37.0547	valid's rmse: 104.265
[945]	train's rmse: 37.0473	valid's rmse: 104.262
[946]	train's rmse: 37.0248	valid's rmse: 104.257
[947]	train's rmse: 37.0153	valid's rmse: 104.253
[948]	train's rmse: 37.003	valid's rmse: 104.249
[949]	train's rmse: 36.9985	valid's rmse: 104.248
[950]	train's rmse: 36.9855	valid's rmse: 104.244
[951]	train's rmse: 36.972	valid's rmse: 104.238
[952]	train's rmse: 36.9672	valid's rmse: 104.234
[953]	train's rmse: 36.9545	valid's rmse: 104.231
[954]	train's rmse: 36.8568	valid's rmse: 104.203
[955]	train's rmse: 36.8303	valid's rmse: 104.182
[956]	train's rmse: 36.8136	valid's rmse: 104.177
[957]	train's rmse: 36.7816	valid's rmse: 104.157
[958]	train's rmse: 36.7535	valid's rmse: 104.145
[959]	train's rmse: 36.7504	valid's rmse: 104.144
[960]	train's rmse: 36.7454	valid's rmse: 104.145
[961]	train's rmse: 36.7298	valid's rmse: 104.139
[962]	train's rmse: 36.7157	valid's rmse: 104.131
[963]	train's rmse: 36.6733	valid's rmse: 104.05
[964]	train's rmse: 36.6641	valid's rmse: 104.047
[965]	train's rmse: 36.6533	valid's rmse: 104.05
[966]	train's rmse: 36.6359	valid's rmse: 104.027
[967]	train's rmse: 36.6323	valid's rmse: 104.026
[968]	train's rmse: 36.6204	valid's rmse: 104.029
[969]	train's rmse: 36.6103	valid's rmse: 104.027
[970]	train's rmse: 36.5857	valid's rmse: 104.028
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[972]	train's rmse: 36.5665	valid's rmse: 104.021
[973]	train's rmse: 36.5538	valid's rmse: 104.02
[974]	train's rmse: 36.5177	valid's rmse: 104.025
[975]	train's rmse: 36.4947	valid's rmse: 104.015
[976]	train's rmse: 36.4562	valid's rmse: 104.013
[977]	train's rmse: 36.4398	valid's rmse: 104.009
[978]	train's rmse: 36.4193	valid's rmse: 104.005
[979]	train's rmse: 36.4094	valid's rmse: 104.004
[980]	train's rmse: 36.4027	valid's rmse: 104.001
[981]	train's rmse: 36.3615	valid's rmse: 103.975
[982]	train's rmse: 36.3449	valid's rmse: 103.969
[983]	train's rmse: 36.3159	valid's rmse: 103.969
[984]	train's rmse: 36.287	valid's rmse: 103.964
[985]	train's rmse: 36.2754	valid's rmse: 103.959
[986]	train's rmse: 36.2683	valid's rmse: 103.957
[987]	train's rmse: 36.2655	valid's rmse: 103.957
[988]	train's rmse: 36.2497	valid's rmse: 103.94
[989]	train's rmse: 36.2404	valid's rmse: 103.936
[990]	train's rmse: 36.235	valid's rmse: 103.933
[991]	train's rmse: 36.2306	valid's rmse: 103.927
[992]	train's rmse: 36.1597	valid's rmse: 103.845
[993]	train's rmse: 36.1495	valid's rmse: 103.842
[994]	train's rmse: 36.1339	valid's rmse: 103.835
[995]	train's rmse: 36.1243	valid's rmse: 103.831
[996]	train's rmse: 36.0916	valid's rmse: 103.819
[997]	train's rmse: 36.0613	valid's rmse: 103.812
[998]	train's rmse: 36.0544	valid's rmse: 103.81
[999]	train's rmse: 36.0205	valid's rmse: 103.801
[1000]	train's rmse: 35.9999	valid's rmse: 103.791
[1001]	train's rmse: 35.9887	valid's rmse: 103.787
[1002]	train's rmse: 35.9752	valid's rmse: 103.78
[1003]	train's rmse: 35.9621	valid's rmse: 103.777
[1004]	train's rmse: 35.938	valid's rmse: 103.75
[1005]	train's rmse: 35.8815	valid's rmse: 103.734
[1006]	train's rmse: 35.8591	valid's rmse: 103.725
[1007]	train's rmse: 35.8282	valid's rmse: 103.721
[1008]	train's rmse: 35.8257	valid's rmse: 103.72
[1009]	train's rmse: 35.8144	valid's rmse: 103.714
[1010]	train's rmse: 35.8016	valid's rmse: 103.715
[1011]	train's rmse: 35.7882	valid's rmse: 103.712
[1012]	train's rmse: 35.7558	valid's rmse: 103.708
[1013]	train's rmse: 35.7439	valid's rmse: 103.708
[1014]	train's rmse: 35.7254	valid's rmse: 103.702
[1015]	train's rmse: 35.7155	valid's rmse: 103.693
[1016]	train's rmse: 35.6963	valid's rmse: 103.684
[1017]	train's rmse: 35.6826	valid's rmse: 103.679
[1018]	train's rmse: 35.6325	valid's rmse: 103.668
[1019]	train's rmse: 35.6173	valid's rmse: 103.664
[1020]	train's rmse: 35.5956	valid's rmse: 103.646
[1021]	train's rmse: 35.5868	valid's rmse: 103.645
[1022]	train's rmse: 35.5755	valid's rmse: 103.637
[1023]	train's rmse: 35.5617	valid's rmse: 103.635
[1024]	train's rmse: 35.5462	valid's rmse: 103.629
[1025]	train's rmse: 35.5365	valid's rmse: 103.625
[1026]	train's rmse: 35.5161	valid's rmse: 103.618
[1027]	train's rmse: 35.4839	valid's rmse: 103.622
[1028]	train's rmse: 35.4742	valid's rmse: 103.619
[1029]	train's rmse: 35.4591	valid's rmse: 103.619
[1030]	train's rmse: 35.4524	valid's rmse: 103.616
[1031]	train's rmse: 35.4412	valid's rmse: 103.602
[1032]	train's rmse: 35.4234	valid's rmse: 103.59
[1033]	train's rmse: 35.4192	valid's rmse: 103.589
[1034]	train's rmse: 35.4071	valid's rmse: 103.591
[1035]	train's rmse: 35.3646	valid's rmse: 103.585
[1036]	train's rmse: 35.3434	valid's rmse: 103.587
[1037]	train's rmse: 35.3266	valid's rmse: 103.569
[1038]	train's rmse: 35.3071	valid's rmse: 103.565
[1039]	train's rmse: 35.3002	valid's rmse: 103.563
[1040]	train's rmse: 35.2876	valid's rmse: 103.554
[1041]	train's rmse: 35.2828	valid's rmse: 103.553
[1042]	train's rmse: 35.2674	valid's rmse: 103.548
[1043]	train's rmse: 35.2236	valid's rmse: 103.534
[1044]	train's rmse: 35.2115	valid's rmse: 103.529
[1045]	train's rmse: 35.1906	valid's rmse: 103.517
[1046]	train's rmse: 35.1878	valid's rmse: 103.517
[1047]	train's rmse: 35.1826	valid's rmse: 103.516
[1048]	train's rmse: 35.1733	valid's rmse: 103.514
[1049]	train's rmse: 35.1643	valid's rmse: 103.511
[1050]	train's rmse: 35.1459	valid's rmse: 103.507
[1051]	train's rmse: 35.1382	valid's rmse: 103.507
[1052]	train's rmse: 35.1252	valid's rmse: 103.506
[1053]	train's rmse: 35.0725	valid's rmse: 103.513
[1054]	train's rmse: 35.0568	valid's rmse: 103.507
[1055]	train's rmse: 35.0451	valid's rmse: 103.507
[1056]	train's rmse: 35.038	valid's rmse: 103.504
[1057]	train's rmse: 35.0189	valid's rmse: 103.492
[1058]	train's rmse: 34.9997	valid's rmse: 103.484
[1059]	train's rmse: 34.9845	valid's rmse: 103.48
[1060]	train's rmse: 34.925	valid's rmse: 103.397
[1061]	train's rmse: 34.9033	valid's rmse: 103.389
[1062]	train's rmse: 34.873	valid's rmse: 103.387
[1063]	train's rmse: 34.8239	valid's rmse: 103.352
[1064]	train's rmse: 34.8191	valid's rmse: 103.349
[1065]	train's rmse: 34.8063	valid's rmse: 103.344
[1066]	train's rmse: 34.7943	valid's rmse: 103.341
[1067]	train's rmse: 34.7774	valid's rmse: 103.314
[1068]	train's rmse: 34.7347	valid's rmse: 103.307
[1069]	train's rmse: 34.7083	valid's rmse: 103.311
[1070]	train's rmse: 34.7008	valid's rmse: 103.309
[1071]	train's rmse: 34.6856	valid's rmse: 103.302
[1072]	train's rmse: 34.6649	valid's rmse: 103.293
[1073]	train's rmse: 34.6503	valid's rmse: 103.29
[1074]	train's rmse: 34.6303	valid's rmse: 103.282
[1075]	train's rmse: 34.6268	valid's rmse: 103.281
[1076]	train's rmse: 34.6213	valid's rmse: 103.279
[1077]	train's rmse: 34.6138	valid's rmse: 103.272
[1078]	train's rmse: 34.582	valid's rmse: 103.24
[1079]	train's rmse: 34.5534	valid's rmse: 103.226
[1080]	train's rmse: 34.5373	valid's rmse: 103.22
[1081]	train's rmse: 34.5237	valid's rmse: 103.212
[1082]	train's rmse: 34.5129	valid's rmse: 103.211
[1083]	train's rmse: 34.4793	valid's rmse: 103.217
[1084]	train's rmse: 34.4765	valid's rmse: 103.215
[1085]	train's rmse: 34.4453	valid's rmse: 103.167
[1086]	train's rmse: 34.4303	valid's rmse: 103.16
[1087]	train's rmse: 34.4226	valid's rmse: 103.158
[1088]	train's rmse: 34.4034	valid's rmse: 103.14
[1089]	train's rmse: 34.3732	valid's rmse: 103.126
[1090]	train's rmse: 34.358	valid's rmse: 103.123
[1091]	train's rmse: 34.3533	valid's rmse: 103.122
[1092]	train's rmse: 34.3422	valid's rmse: 103.117
[1093]	train's rmse: 34.3183	valid's rmse: 103.107
[1094]	train's rmse: 34.306	valid's rmse: 103.103
[1095]	train's rmse: 34.2903	valid's rmse: 103.098
[1096]	train's rmse: 34.2761	valid's rmse: 103.097
[1097]	train's rmse: 34.2143	valid's rmse: 103.105
[1098]	train's rmse: 34.1992	valid's rmse: 103.102
[1099]	train's rmse: 34.1824	valid's rmse: 103.105
[1100]	train's rmse: 34.1699	valid's rmse: 103.101
[1101]	train's rmse: 34.1374	valid's rmse: 103.033
[1102]	train's rmse: 34.1197	valid's rmse: 103.03
[1103]	train's rmse: 34.104	valid's rmse: 103.02
[1104]	train's rmse: 34.0939	valid's rmse: 103.017
[1105]	train's rmse: 34.0517	valid's rmse: 103.01
[1106]	train's rmse: 34.0449	valid's rmse: 103.01
[1107]	train's rmse: 34.0189	valid's rmse: 102.986
[1108]	train's rmse: 34.0079	valid's rmse: 102.984
[1109]	train's rmse: 33.9824	valid's rmse: 102.973
[1110]	train's rmse: 33.974	valid's rmse: 102.97
[1111]	train's rmse: 33.9598	valid's rmse: 102.963
[1112]	train's rmse: 33.9563	valid's rmse: 102.96
[1113]	train's rmse: 33.9335	valid's rmse: 102.949
[1114]	train's rmse: 33.9111	valid's rmse: 102.939
[1115]	train's rmse: 33.9086	valid's rmse: 102.939
[1116]	train's rmse: 33.9027	valid's rmse: 102.938
[1117]	train's rmse: 33.896	valid's rmse: 102.936
[1118]	train's rmse: 33.8845	valid's rmse: 102.934
[1119]	train's rmse: 33.8786	valid's rmse: 102.932
[1120]	train's rmse: 33.86	valid's rmse: 102.919
[1121]	train's rmse: 33.8507	valid's rmse: 102.916
[1122]	train's rmse: 33.8464	valid's rmse: 102.911
[1123]	train's rmse: 33.836	valid's rmse: 102.909
[1124]	train's rmse: 33.8242	valid's rmse: 102.903
[1125]	train's rmse: 33.8162	valid's rmse: 102.902
[1126]	train's rmse: 33.8067	valid's rmse: 102.897
[1127]	train's rmse: 33.7802	valid's rmse: 102.89
[1128]	train's rmse: 33.7568	valid's rmse: 102.888
[1129]	train's rmse: 33.7454	valid's rmse: 102.884
[1130]	train's rmse: 33.738	valid's rmse: 102.88
[1131]	train's rmse: 33.7206	valid's rmse: 102.876
[1132]	train's rmse: 33.6892	valid's rmse: 102.871
[1133]	train's rmse: 33.6792	valid's rmse: 102.868
[1134]	train's rmse: 33.6696	valid's rmse: 102.858
[1135]	train's rmse: 33.6632	valid's rmse: 102.858
[1136]	train's rmse: 33.6505	valid's rmse: 102.854
[1137]	train's rmse: 33.6477	valid's rmse: 102.853
[1138]	train's rmse: 33.6361	valid's rmse: 102.852
[1139]	train's rmse: 33.6251	valid's rmse: 102.847
[1140]	train's rmse: 33.6139	valid's rmse: 102.843
[1141]	train's rmse: 33.6049	valid's rmse: 102.842
[1142]	train's rmse: 33.5945	valid's rmse: 102.841
[1143]	train's rmse: 33.5811	valid's rmse: 102.837
[1144]	train's rmse: 33.57	valid's rmse: 102.834
[1145]	train's rmse: 33.5559	valid's rmse: 102.821
[1146]	train's rmse: 33.5462	valid's rmse: 102.817
[1147]	train's rmse: 33.513	valid's rmse: 102.812
[1148]	train's rmse: 33.4944	valid's rmse: 102.801
[1149]	train's rmse: 33.4807	valid's rmse: 102.796
[1150]	train's rmse: 33.4766	valid's rmse: 102.796
[1151]	train's rmse: 33.4557	valid's rmse: 102.789
[1152]	train's rmse: 33.3683	valid's rmse: 102.662
[1153]	train's rmse: 33.3482	valid's rmse: 102.657
[1154]	train's rmse: 33.3316	valid's rmse: 102.64
[1155]	train's rmse: 33.3207	valid's rmse: 102.637
[1156]	train's rmse: 33.3094	valid's rmse: 102.631
[1157]	train's rmse: 33.2822	valid's rmse: 102.627
[1158]	train's rmse: 33.2672	valid's rmse: 102.622
[1159]	train's rmse: 33.2562	valid's rmse: 102.62
[1160]	train's rmse: 33.245	valid's rmse: 102.616
[1161]	train's rmse: 33.2395	valid's rmse: 102.616
[1162]	train's rmse: 33.233	valid's rmse: 102.615
[1163]	train's rmse: 33.2196	valid's rmse: 102.61
[1164]	train's rmse: 33.2038	valid's rmse: 102.61
[1165]	train's rmse: 33.1566	valid's rmse: 102.618
[1166]	train's rmse: 33.1457	valid's rmse: 102.615
[1167]	train's rmse: 33.124	valid's rmse: 102.617
[1168]	train's rmse: 33.1064	valid's rmse: 102.608
[1169]	train's rmse: 33.0533	valid's rmse: 102.596
[1170]	train's rmse: 33.0344	valid's rmse: 102.594
[1171]	train's rmse: 33.0227	valid's rmse: 102.588
[1172]	train's rmse: 33.0094	valid's rmse: 102.583
[1173]	train's rmse: 33.0001	valid's rmse: 102.579
[1174]	train's rmse: 32.98	valid's rmse: 102.572
[1175]	train's rmse: 32.9591	valid's rmse: 102.567
[1176]	train's rmse: 32.9094	valid's rmse: 102.584
[1177]	train's rmse: 32.8874	valid's rmse: 102.575
[1178]	train's rmse: 32.8736	valid's rmse: 102.572
[1179]	train's rmse: 32.8461	valid's rmse: 102.557
[1180]	train's rmse: 32.8294	valid's rmse: 102.538
[1181]	train's rmse: 32.8135	valid's rmse: 102.532
[1182]	train's rmse: 32.7849	valid's rmse: 102.534
[1183]	train's rmse: 32.7719	valid's rmse: 102.536
[1184]	train's rmse: 32.7564	valid's rmse: 102.531
[1185]	train's rmse: 32.7328	valid's rmse: 102.53
[1186]	train's rmse: 32.7168	valid's rmse: 102.526
[1187]	train's rmse: 32.7092	valid's rmse: 102.525
[1188]	train's rmse: 32.7008	valid's rmse: 102.523
[1189]	train's rmse: 32.6972	valid's rmse: 102.522
[1190]	train's rmse: 32.655	valid's rmse: 102.531
[1191]	train's rmse: 32.6417	valid's rmse: 102.524
[1192]	train's rmse: 32.622	valid's rmse: 102.537
[1193]	train's rmse: 32.6125	valid's rmse: 102.534
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[1195]	train's rmse: 32.5783	valid's rmse: 102.533
[1196]	train's rmse: 32.555	valid's rmse: 102.527
[1197]	train's rmse: 32.5428	valid's rmse: 102.523
[1198]	train's rmse: 32.5295	valid's rmse: 102.506
[1199]	train's rmse: 32.5012	valid's rmse: 102.501
[1200]	train's rmse: 32.4937	valid's rmse: 102.497
[1201]	train's rmse: 32.4765	valid's rmse: 102.493
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[1203]	train's rmse: 32.4497	valid's rmse: 102.493
[1204]	train's rmse: 32.4424	valid's rmse: 102.49
[1205]	train's rmse: 32.4297	valid's rmse: 102.483
[1206]	train's rmse: 32.3993	valid's rmse: 102.474
[1207]	train's rmse: 32.3671	valid's rmse: 102.416
[1208]	train's rmse: 32.3587	valid's rmse: 102.414
[1209]	train's rmse: 32.3457	valid's rmse: 102.411
[1210]	train's rmse: 32.323	valid's rmse: 102.402
[1211]	train's rmse: 32.3124	valid's rmse: 102.398
[1212]	train's rmse: 32.2993	valid's rmse: 102.397
[1213]	train's rmse: 32.2706	valid's rmse: 102.392
[1214]	train's rmse: 32.2646	valid's rmse: 102.39
[1215]	train's rmse: 32.2552	valid's rmse: 102.387
[1216]	train's rmse: 32.2385	valid's rmse: 102.383
[1217]	train's rmse: 32.2269	valid's rmse: 102.383
[1218]	train's rmse: 32.2157	valid's rmse: 102.379
[1219]	train's rmse: 32.1954	valid's rmse: 102.368
[1220]	train's rmse: 32.1871	valid's rmse: 102.366
[1221]	train's rmse: 32.1771	valid's rmse: 102.362
[1222]	train's rmse: 32.1628	valid's rmse: 102.355
[1223]	train's rmse: 32.158	valid's rmse: 102.354
[1224]	train's rmse: 32.1518	valid's rmse: 102.353
[1225]	train's rmse: 32.1396	valid's rmse: 102.346
[1226]	train's rmse: 32.1295	valid's rmse: 102.341
[1227]	train's rmse: 32.1212	valid's rmse: 102.338
[1228]	train's rmse: 32.1093	valid's rmse: 102.334
[1229]	train's rmse: 32.095	valid's rmse: 102.327
[1230]	train's rmse: 32.0856	valid's rmse: 102.326
[1231]	train's rmse: 32.058	valid's rmse: 102.299
[1232]	train's rmse: 32.0411	valid's rmse: 102.294
[1233]	train's rmse: 32.0362	valid's rmse: 102.292
[1234]	train's rmse: 32.006	valid's rmse: 102.283
[1235]	train's rmse: 31.9961	valid's rmse: 102.28
[1236]	train's rmse: 31.9884	valid's rmse: 102.279
[1237]	train's rmse: 31.9319	valid's rmse: 102.276
[1238]	train's rmse: 31.9196	valid's rmse: 102.282
[1239]	train's rmse: 31.9118	valid's rmse: 102.279
[1240]	train's rmse: 31.8939	valid's rmse: 102.257
[1241]	train's rmse: 31.8843	valid's rmse: 102.256
[1242]	train's rmse: 31.8804	valid's rmse: 102.254
[1243]	train's rmse: 31.8724	valid's rmse: 102.251
[1244]	train's rmse: 31.8416	valid's rmse: 102.247
[1245]	train's rmse: 31.8362	valid's rmse: 102.246
[1246]	train's rmse: 31.8221	valid's rmse: 102.237
[1247]	train's rmse: 31.8073	valid's rmse: 102.234
[1248]	train's rmse: 31.7872	valid's rmse: 102.231
[1249]	train's rmse: 31.7749	valid's rmse: 102.227
[1250]	train's rmse: 31.7655	valid's rmse: 102.224
[1251]	train's rmse: 31.7593	valid's rmse: 102.222
[1252]	train's rmse: 31.7469	valid's rmse: 102.221
[1253]	train's rmse: 31.7345	valid's rmse: 102.216
[1254]	train's rmse: 31.7219	valid's rmse: 102.212
[1255]	train's rmse: 31.7069	valid's rmse: 102.208
[1256]	train's rmse: 31.6966	valid's rmse: 102.202
[1257]	train's rmse: 31.69	valid's rmse: 102.204
[1258]	train's rmse: 31.6648	valid's rmse: 102.198
[1259]	train's rmse: 31.6348	valid's rmse: 102.173
[1260]	train's rmse: 31.622	valid's rmse: 102.169
[1261]	train's rmse: 31.6143	valid's rmse: 102.168
[1262]	train's rmse: 31.6126	valid's rmse: 102.167
[1263]	train's rmse: 31.6084	valid's rmse: 102.166
[1264]	train's rmse: 31.5911	valid's rmse: 102.159
[1265]	train's rmse: 31.579	valid's rmse: 102.155
[1266]	train's rmse: 31.5688	valid's rmse: 102.155
[1267]	train's rmse: 31.5669	valid's rmse: 102.155
[1268]	train's rmse: 31.5618	valid's rmse: 102.154
[1269]	train's rmse: 31.5559	valid's rmse: 102.152
[1270]	train's rmse: 31.5493	valid's rmse: 102.151
[1271]	train's rmse: 31.5458	valid's rmse: 102.15
[1272]	train's rmse: 31.5369	valid's rmse: 102.148
[1273]	train's rmse: 31.5272	valid's rmse: 102.139
[1274]	train's rmse: 31.5176	valid's rmse: 102.132
[1275]	train's rmse: 31.5092	valid's rmse: 102.13
[1276]	train's rmse: 31.4888	valid's rmse: 102.126
[1277]	train's rmse: 31.482	valid's rmse: 102.124
[1278]	train's rmse: 31.4724	valid's rmse: 102.122
[1279]	train's rmse: 31.4575	valid's rmse: 102.117
[1280]	train's rmse: 31.4518	valid's rmse: 102.119
[1281]	train's rmse: 31.4384	valid's rmse: 102.116
[1282]	train's rmse: 31.4305	valid's rmse: 102.113
[1283]	train's rmse: 31.4132	valid's rmse: 102.106
[1284]	train's rmse: 31.4012	valid's rmse: 102.1
[1285]	train's rmse: 31.3978	valid's rmse: 102.099
[1286]	train's rmse: 31.3952	valid's rmse: 102.098
[1287]	train's rmse: 31.3873	valid's rmse: 102.097
[1288]	train's rmse: 31.3776	valid's rmse: 102.095
[1289]	train's rmse: 31.3663	valid's rmse: 102.093
[1290]	train's rmse: 31.3599	valid's rmse: 102.09
[1291]	train's rmse: 31.3533	valid's rmse: 102.091
[1292]	train's rmse: 31.3472	valid's rmse: 102.088
[1293]	train's rmse: 31.3359	valid's rmse: 102.084
[1294]	train's rmse: 31.3204	valid's rmse: 102.079
[1295]	train's rmse: 31.309	valid's rmse: 102.076
[1296]	train's rmse: 31.2969	valid's rmse: 102.074
[1297]	train's rmse: 31.272	valid's rmse: 102.04
[1298]	train's rmse: 31.2615	valid's rmse: 102.037
[1299]	train's rmse: 31.2487	valid's rmse: 102.034
[1300]	train's rmse: 31.2372	valid's rmse: 102.029
[1301]	train's rmse: 31.2013	valid's rmse: 102.034
[1302]	train's rmse: 31.1949	valid's rmse: 102.033
[1303]	train's rmse: 31.1874	valid's rmse: 102.032
[1304]	train's rmse: 31.1767	valid's rmse: 102.034
[1305]	train's rmse: 31.1688	valid's rmse: 102.032
[1306]	train's rmse: 31.1599	valid's rmse: 102.027
[1307]	train's rmse: 31.1562	valid's rmse: 102.025
[1308]	train's rmse: 31.1361	valid's rmse: 102.014
[1309]	train's rmse: 31.1214	valid's rmse: 102.01
[1310]	train's rmse: 31.1113	valid's rmse: 102.006
[1311]	train's rmse: 31.102	valid's rmse: 102.004
[1312]	train's rmse: 31.093	valid's rmse: 102.002
[1313]	train's rmse: 31.0833	valid's rmse: 101.999
[1314]	train's rmse: 31.0659	valid's rmse: 101.994
[1315]	train's rmse: 30.9925	valid's rmse: 101.975
[1316]	train's rmse: 30.9905	valid's rmse: 101.975
[1317]	train's rmse: 30.988	valid's rmse: 101.974
[1318]	train's rmse: 30.9715	valid's rmse: 101.964
[1319]	train's rmse: 30.9452	valid's rmse: 101.946
[1320]	train's rmse: 30.9419	valid's rmse: 101.945
[1321]	train's rmse: 30.9361	valid's rmse: 101.945
[1322]	train's rmse: 30.9234	valid's rmse: 101.942
[1323]	train's rmse: 30.9207	valid's rmse: 101.941
[1324]	train's rmse: 30.907	valid's rmse: 101.937
[1325]	train's rmse: 30.897	valid's rmse: 101.935
[1326]	train's rmse: 30.8801	valid's rmse: 101.887
[1327]	train's rmse: 30.8757	valid's rmse: 101.886
[1328]	train's rmse: 30.8594	valid's rmse: 101.876
[1329]	train's rmse: 30.8508	valid's rmse: 101.876
[1330]	train's rmse: 30.8248	valid's rmse: 101.883
[1331]	train's rmse: 30.8117	valid's rmse: 101.873
[1332]	train's rmse: 30.7962	valid's rmse: 101.866
[1333]	train's rmse: 30.7877	valid's rmse: 101.862
[1334]	train's rmse: 30.77	valid's rmse: 101.856
[1335]	train's rmse: 30.7493	valid's rmse: 101.852
[1336]	train's rmse: 30.7349	valid's rmse: 101.849
[1337]	train's rmse: 30.7204	valid's rmse: 101.845
[1338]	train's rmse: 30.7119	valid's rmse: 101.842
[1339]	train's rmse: 30.7031	valid's rmse: 101.84
[1340]	train's rmse: 30.6965	valid's rmse: 101.837
[1341]	train's rmse: 30.6837	valid's rmse: 101.836
[1342]	train's rmse: 30.6457	valid's rmse: 101.797
[1343]	train's rmse: 30.642	valid's rmse: 101.796
[1344]	train's rmse: 30.6373	valid's rmse: 101.796
[1345]	train's rmse: 30.6283	valid's rmse: 101.794
[1346]	train's rmse: 30.6205	valid's rmse: 101.792
[1347]	train's rmse: 30.6145	valid's rmse: 101.788
[1348]	train's rmse: 30.596	valid's rmse: 101.786
[1349]	train's rmse: 30.581	valid's rmse: 101.785

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
<ipython-input-193-7fb37a37e2a8> in <module>()
     42 
     43 study = optuna.create_study(direction='maximize')
---> 44 study.optimize(objective, n_trials=100)
     45 
     46 # 結果の確認

/usr/local/lib/python3.6/dist-packages/optuna/study.py in optimize(self, func, n_trials, timeout, n_jobs, catch, callbacks, gc_after_trial, show_progress_bar)
    329             if n_jobs == 1:
    330                 self._optimize_sequential(
--> 331                     func, n_trials, timeout, catch, callbacks, gc_after_trial, None
    332                 )
    333             else:

/usr/local/lib/python3.6/dist-packages/optuna/study.py in _optimize_sequential(self, func, n_trials, timeout, catch, callbacks, gc_after_trial, time_start)
    624                     break
    625 
--> 626             self._run_trial_and_callbacks(func, catch, callbacks, gc_after_trial)
    627 
    628             self._progress_bar.update((datetime.datetime.now() - time_start).total_seconds())

/usr/local/lib/python3.6/dist-packages/optuna/study.py in _run_trial_and_callbacks(self, func, catch, callbacks, gc_after_trial)
    654         # type: (...) -> None
    655 
--> 656         trial = self._run_trial(func, catch, gc_after_trial)
    657         if callbacks is not None:
    658             frozen_trial = self._storage.get_trial(trial._trial_id)

/usr/local/lib/python3.6/dist-packages/optuna/study.py in _run_trial(self, func, catch, gc_after_trial)
    675 
    676         try:
--> 677             result = func(trial)
    678         except exceptions.TrialPruned as e:
    679             message = "Setting status of trial#{} as {}. {}".format(

<ipython-input-193-7fb37a37e2a8> in objective(trial)
     34         model = lgb.train(light_params, lgb_train, num_boost_round=num_round,
     35                       valid_names=["train", "valid"], valid_sets=[lgb_train, lgb_valid],
---> 36                       early_stopping_rounds=10)
     37         va_pred = model.predict(X_valid)
     38         score_ = np.sqrt(mean_squared_error(y_valid, va_pred))

/usr/local/lib/python3.6/dist-packages/lightgbm/engine.py in train(params, train_set, num_boost_round, valid_sets, valid_names, fobj, feval, init_model, feature_name, categorical_feature, early_stopping_rounds, evals_result, verbose_eval, learning_rates, keep_training_booster, callbacks)
    216                                     evaluation_result_list=None))
    217 
--> 218         booster.update(fobj=fobj)
    219 
    220         evaluation_result_list = []

/usr/local/lib/python3.6/dist-packages/lightgbm/basic.py in update(self, train_set, fobj)
   1800             _safe_call(_LIB.LGBM_BoosterUpdateOneIter(
   1801                 self.handle,
-> 1802                 ctypes.byref(is_finished)))
   1803             self.__is_predicted_cur_iter = [False for _ in range_(self.__num_dataset)]
   1804             return is_finished.value == 1

KeyboardInterrupt:

添付データ

estate_estimation_prediction.ipynb?X-Amz-Expires=10800&X-Amz-Date=20241116T232558Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIP7GCBGMWPMZ42PQ

不動産取引価格予測

LightGBMによるBase line

参考資料

データの読み込み

前処理

LGB

OptunaLightGBM

添付データ

new user