Machine Learning, Data Science, Data, Artificial Intelligence, Coding.
problem is if the model learns the data too well, it fails to capture the true relationship between input and output and thus gives poor validation accuracy ( results on unseen data ) although it exhibits good accuracy on the training data. This is called overfitting and is a very common problem in