SHAP Explained: Making Machine Learning Predictions Transparent
Whenever we build machine learning models, there’s always a moment of hesitation. The model spits out a prediction, the metrics look promising, and yet we’re left wondering: why did it make that decision? We live in a time when algorithms influence everything, from what we watch online to whether someone qualifies for a loan. Accuracy […]
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