Overfitting occurs when a machine learning model becomes too complex and starts to fit the training data too closely, resulting in poor generalization performance on new, unseen data. This happens because the model has essentially memorized the training data instead of learning the underlying patterns and relationships. One common cause of overfitting is having too …
