Classification cross validation

from sklearn.model_selection import cross_val_predict
xgb=XGBClassifier(colsample_bytree=0.8, learning_rate=0.4, max_depth=4)
cvs=cross_val_score(xgb,x,y,scoring='accuracy',cv=10)
print('cross_val_scores=  ',cvs.mean())
y_pred=cross_val_predict(xgb,x,y,cv=10)
conf_mat=confusion_matrix(y_pred,y)
conf_mat

Similar codes

0 vote292 views2 answers
Numpy np sign change in df pandas zero crossing
Python
0 vote319 views1 answer
Python writelignes
Python
1 vote312 views1 answer
Remainder identifying python
Python
11 votes335 views2 answers
Append 1 colimn in pandas df
Python
1 vote381 views1 answer
Django how to set a navbar active
Python
0 vote393 views1 answer
How to send image to template thats not in static flask
Python Flask
18 votes308 views6 answers
Installing django
Python
8 votes342 views4 answers
Python split sentence into words
Python
2 votes295 views1 answer
Running selenium on google colab
Python
0 vote343 views1 answer
Free download django app for windows 10
Python Django