text_plain_output_1.png image_output_1.png
from xgboost import XGBClassifier,plot_importance

(X_train.shape, y_train.shape)

xgbClf = XGBClassifier(n_estimators=1000)

xgbClf.fit(X_train, y_train)

xgbClf.score(X_test, y_test) * 100