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构建决策树时出现ValueError: Length of feature_names, 4 does not match number of features, 10的解决办法
以下为原代码:
import pandas as pd
from sklearn import tree
ball_data = pd.read_csv('ball.csv')
cat_features = ['Outlook','Temperature','Humidity','Windy']
ball_data_onehot = pd.get_dummies(ball_data,columns=cat_features)
ball_data_onehot['Play'] = ball_data_onehot['Play'].map({
'No':0,'Yes':1}).astype(int)
ball_data_tr_in = ball_data_onehot.drop(columns=['Play'])
ball_data_tr_out = ball_data_onehot['Play']
from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test = train_test_split(ball_data_tr_in,ball_data_tr_out,test_size=0.3,random_state=1
本文标签: 解决办法决策树lengthValueErrorMATCH
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