and0405

## gist:561db6d174475123dd9802fef4f74acd
import pandas as pd
from sklearn.ensemble import RandomForestRegressor

# データ読み込み
train = pd.read_csv("/kaggle/input/playground-series-s5e5/train.csv")
test = pd.read_csv("/kaggle/input/playground-series-s5e5/test.csv")

# 外れ値処理（Body_TempとCalories）
body_temp_low = train['Body_Temp'].quantile(0.005)
body_temp_high = train['Body_Temp'].quantile(0.995)
	import pandas as pd
	from sklearn.ensemble import RandomForestRegressor

	# データ読み込み
	train = pd.read_csv("/kaggle/input/playground-series-s5e5/train.csv")
	test = pd.read_csv("/kaggle/input/playground-series-s5e5/test.csv")

	# 外れ値処理（Body_TempとCalories）
	body_temp_low = train['Body_Temp'].quantile(0.005)
	body_temp_high = train['Body_Temp'].quantile(0.995)