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 ...

Decision Tree implementation in Python, supports GINI Index and Entropy as impurity ... Search syntax tips Provide feedback We read every piece of feedback, ... Decision Tree implementation in Python, ...

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 ...

ChefBoost is one python package that provides functions for implementing all the regular types of decision trees and advanced techniques. One thing which is noticeable about the package is we can ...

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 ...