data mining

Train, validation and testing split Training data - used to train the model training error is back propagated, learning algorithms Validation data - every now and then, the interim model is tested on the validation result Validation error - wrong classification of data If you are not satisfied with the interim model then you will change the model's hyperparameters and re-train the model Q : When…