Overfitting Underfitting, High Brass, Addressing Overfitting, Logistic Regression.
prevent them from becoming too large. This helps prevent overfitting by discouraging overly complex models. 3- Cross-Validation:(Validation loss monitoring)-Cross-validation involves splitting the dataset into multiple subsets for training and evaluation, allowing for more robust model assessment