This is where GINI Index can be used to create better partitions. However, I am only doing concept implementation here, so I have decided to keep the two parts (main Decision Tree part and GINI Index ...

Gini Calculator This repository contains a Python implementation of the Gini impurity calculator, which is used to evaluate the quality of splits in a dataset. The Gini file is fundamental in building ...

In this article, we have learned about the decision tree and we implemented the decision tree for binary classification. To construct a decision tree, we used the Gini impurity method for splitting ...

Decision trees have been found very effective for classification especially in Data Mining. Knowledge Discovery (KD) is an active and important research area with the promise for a high payoff in many ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...