Artificial Intelligence — CBSE Class 10 board question

Two characteristics of a Classification Model are:

1. Works on discrete/categorical data — The output is a category or class label (e.g., "spam" or "not spam", "hot" or "cold"). The predicted values are not continuous.

1. Uses labeled data for training — It is a type of supervised learning where the training dataset contains predefined class labels to which new data points are assigned.

Source: Chapter 2, Classification Model (Sub-categories of Supervised Learning)

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Examiners expect students to clearly name each characteristic and briefly explain it. The two most important points from the textbook are: (i) classification works on discrete (not continuous) data, and (ii) it assigns data to predefined class labels using labeled training data. Avoid confusing classification with regression (which predicts continuous values) or clustering (which has no predefined labels).