QuizMe

* השאלה נוספה בתאריך: 04-03-2024

		To combine all data for training to improve model accuracy.
		To exclude certain data points that do not fit the model.
		To train the model on a subset of the data and evaluate its performance on unseen data, simulating real-world scenarios.
		To speed up the training process by reducing the amount of data used.

Why is it important to split the dataset into training and test sets in machine learning?