Information Gain Calculator
A practical Data Science & Machine Learning calculator with validated inputs and transparent results.
Calculator
Enter your values and calculate.
How to use this calculator
What to enter
Enter or select the following as requested: Parent class probabilities; Child group probabilities, separated by semicolons; Child weights. Follow the units, valid ranges, examples, and options displayed beside each field.
What the result means
The output summarizes a data or model metric using the input values, sample, threshold, or evaluation method selected. Check the metric definition, class balance, data split, units, and whether the evaluation data is independent of model training.
When to use it
Use this to explore or compare analytical results. Validate data quality and evaluation assumptions, and avoid relying on a single metric when assessing a model or making consequential decisions.