How to use cross_val_score for Cross Validation in Keras   Cross-validation is a technique used to evaluate the performance of a machine learning model by dividing the dataset into different subsets and training and evaluating the model on different subsets of the data. This can provide a more robust estimate of the model’s performance. In … Continue reading How to use cross_val_score for Cross Validation in Keras