About this document

Data Mining Decision Tree Analysis by Saamia A is a document available to read on EtoBox.

The document describes analyzing a dataset of 30 students to predict which students play cricket during their leisure time based on their gender, class, and height. It discusses using entropy, information gain, and Gini impurity calculations to determine that gender is the most significant variable to initially split the decision tree on. It also provides code to generate a decision tree model in Python using scikit-learn and graph the results. Finally, it implements logistic regression, k-nearest neighbors

Author

Saamia A

Language

EN