恐らくscikit-learnの読み込みが出来ていない

Question

from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
import optuna

X_train, X_test, Y_train, Y_test = train_test_split(df_xy[["SMA5/current", "SMA20/current","RSI","MACD","BBANDS+2σ","BBANDS-2σ"]],df_xy["前日比_classified"], train_size=0.8)

と入力すると以下の様なエラーが発生します

ValueError Traceback (most recent call last)
<ipython-input-16-fa5627863ca1> in <module>
----> 1 X_train, X_test, Y_train, Y_test = train_test_split(df_xy[["SMA5/current", "SMA20/current","RSI","MACD","BBANDS+2σ","BBANDS-2σ"]],df_xy["前日比_classified"], train_size=0.8)

~\anaconda3\lib\site-packages\sklearn\model_selection_split.py in train_test_split(test_size, train_size, random_state, shuffle, stratify, *arrays)
2173
2174 n_samples = _num_samples(arrays[0])
-> 2175 n_train, n_test = _validate_shuffle_split(n_samples, test_size, train_size,
2176 default_test_size=0.25)
2177

~\anaconda3\lib\site-packages\sklearn\model_selection_split.py in _validate_shuffle_split(n_samples, test_size, train_size, default_test_size)
1855
1856 if n_train == 0:
-> 1857 raise ValueError(
1858 'With n_samples={}, test_size={} and train_size={}, the '
1859 'resulting train set will be empty. Adjust any of the '

ValueError: With n_samples=0, test_size=None and train_size=0.8, the resulting train set will be empty. Adjust any of the aforementioned parameters.

読み込み先の設定がわかりません。

Answer 1

ValueError: With n_samples=0, test_size=None and train_size=0.8, the resulting train set will be empty. Adjust any of the aforementioned parameters.

なので、データの読み込みがうまく出来ていないのかな〜と思います。

df_xy[["SMA5/current", "SMA20/current","RSI","MACD","BBANDS+2σ","BBANDS-2σ"]]
と、
df_xy["前日比_classified"]
を表示できるか試してみて、もし出来なければちゃんとデータを読み込むところから試すといいかと思います！

Comments

[maruSANKU]

ありがとうございます。