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 ...

Gini impurity is a function that determines how well a decision tree was split. Basically, it helps us to determine which splitter is best so that we can build a pure decision tree. Gini impurity ...

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 ...