Explain a machine learning algorithm

How it works:

• Step 1: The algorithm picks the best feature to split the data on (based on a certain criterion like Gini impurity or information gain).
• Step 2: It divides the data into smaller groups, creating branches.
• Step 3: This process repeats recursively until the data is classified into distinct categories or leaves.

Simple Example:

Imagine a decision tree deciding whether to go outside based on weather:

• If it’s raining, stay inside (leaf).
• If it’s sunny and the temperature is above 25°C, go outside (leaf).
• Otherwise, it might be an ambiguous decision and the tree will continue checking other features, like wind speed.