Machine Learning, Investment, AI, Sklearn, Quant.
preventing overfitting, and ultimately ensuring that the model will perform well on new, unseen data # estimate accuracy on validation set predictions_1 = best_model_1.predict(X__validation_scaled) print(accuracy_score(Y_validation_1, predictions_1 )) print(confusion_matrix(Y_validation_1,