AI, Supervised Learning, Machine Learning.
trained on the labeled dataset, it is evaluated on a separate set of data called the test set. This allows for an unbiased assessment of the model’s ability to generalize its learning to new, unseen data. A well-performing model exhibits accurate predictions on the test set. After successful