Artificial Intelligence — CBSE Class 10 board question

Train-test split is a technique used to evaluate the performance of a machine learning algorithm. It divides the dataset into two subsets:

• Training dataset – used to train/teach the model.
• Testing dataset – input is given to the trained model, predictions are made, and compared with expected values.

This technique is suitable when a sufficiently large dataset is available.

Source: Chapter 3, Section 3.2

Examiners expect two things: (1) a clear definition stating it is an evaluation technique, and (2) the role of each subset (train = learning, test = comparing predictions vs actual). Mentioning that it avoids overfitting is a bonus but not mandatory for 2 marks. Keep it concise.