Information Gain Calculator

Calculate information gain, gain ratio, Gini gain, and feature importance for decision trees.

Parent Entropy

bits

Left Child Entropy

bits

Right Child Entropy

bits

Left Weight

Right Weight

Information Gain

0.38 bits

Information Gain Ratio

0.391

Feature Importance

0.38

Gini Gain-0.24

Entropy Reduction38%

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Formula

IG = H(Parent) - Σ(Weight × H(Child))

Calculate accuracy, precision, recall, F1 score, MCC, AUC, and other classification performance metrics.

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