IGNOU MCSL 69 2026 2027 - Take a real-time example to implement the ID3 decision tree classifica

Question

Take a real-time example to implement the ID3 decision tree classification algorithm in Python

30 Jul 2026

Answer :

Word Count : 667

The ID3 (Iterative Dichotomiser 3) decision tree algorithm is a supervised machine learning algorithm used for classification problems. It constructs a decision tree by selecting the attribute with the highest Information Gain at each step. Information Gain is calculated using the concept of entropy, which measures the impurity or randomness in the dataset. The algorithm continues splitting the data until all records belong to the same class or no further attributes are available for splitting. ID3 is simple, interpretable, and widely used in educational and laboratory applications to understand decision tree learning. A real-time example of ID3 is predicting whether a customer will purchase a laptop based on age, income, student status, and credit rating. Such a model helps retailers identify potential buyers and improve marketing strategies. Consider the following dataset: | Age | Income | Student | Credit Rating

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