Wed. Apr 8th, 2026

Beyond Accuracy: Measuring Divergence Between Actual and Predicted Distributions in Machine Learning


Why Accuracy Is No Longer Enough

Traditionally, machine learning models focused on predicting single labels or numbers. Performance was measured using metrics such as accuracy, precision, recall, or Mean Squared Error.

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MSE = (1/n) * Σ (y_i - y_hat_i)^2

By uttu

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