xgboost-cross-validation

Solving classification problem by XGBoost model implementation; K-folds Cross Validation application for relevant performance metrics accessing.

Model evaluation results:

Accuracy: 0.8645 Precision (“exactness)”: 0.953605016 Recall (“precision”): 0.885331781 F1 Score (“compromise” between precision and recall): 0.918201026

K-folds Cross Validation evaluation results:

Mean accuracy: 0.8629994451163204 Mean standard deviation: 0.010677872171663988

Obviously, the evaluation proves implemented model reliability.