“K pli Cross Validation xgboost Python” Réponses codées

K pli Cross Validation xgboost Python

# How to apply K folds Cross Validation
from sklearn.model_selection import cross_val_score
accuracies = cross_val_score(estimator = classifier, X = X_train, y = y_train, cv = 10)
print("Accuracy: {:.2f} %".format(accuracies.mean()*100))
print("Standard Deviation: {:.2f} %".format(accuracies.std()*100))

# How to train XG Boost
from xgboost import XGBClassifier
classifier = XGBClassifier()
classifier.fit(X_train, y_train)