Testing the model on data used to train it?
nyck33 opened this issue · 1 comments
nyck33 commented
One thing we can do is to test the model with the data we used to train it, and use sklearn's metrics functions to examine the performance of the classifier.
Isn't this wrong? Shouldn't the data set be divided into training and validation sets?