Ranked from highest to lowest Gini index, keep reading to view the amount of income inequality in every state. Discover More: Here’s the Minimum Net Worth To Be Considered Upper Class in Your 50s ...

The CART model began with a single node called the root node, which was recursively divided into subsequent decision nodes, with each split maximizing impurity reduction quantified by the Gini index.

The present research is focused on using the gini index as an attribute selection measure in an elegant decision tree to predict precipitation for voluminous datasets. This study aims at improving the ...

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 ...

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 ...

Contains KNN regression, Linear regression, KNN classification and Decision trees (using gini index, entropy & misclassification rate), all implemented from scratch. Here are some projects based on ...

The paper attempts to find splitting criteria derived from the Gini index criterion that would improve the performance of the Gini index criterion. The splitting criteria are used in the Data Mining ...