Instead of an overfitting, it shows a probable effect of inbalanced data since it seems to be biasing the model to always predict the HAM class instead of the minority class (SPAM). Something observable from the 1.0 obtained in Precision. Let's discuss in our next weekly about balancing methods for text data.
Instead of an overfitting, it shows a probable effect of inbalanced data since it seems to be biasing the model to always predict the HAM class instead of the minority class (SPAM). Something observable from the 1.0 obtained in Precision. Let's discuss in our next weekly about balancing methods for text data.