“When 95% Accuracy Lies”: What Standard ML Evaluation Fails to Tell Us
Let’s say, a machine learning model achieves 95% accuracy.Continue reading on Medium »
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Let’s say, a machine learning model achieves 95% accuracy.Continue reading on Medium »
Not every 95% confidence interval actually delivers 95% coverage. A 3,000-month simulation study shows why the Wilson score interval provides more reliable uncertainty estimates th...
RAG evaluation metrics with formulas and a worked example: precision@k, recall@k, MRR, nDCG, faithfulness and answer relevancy, plus why frameworks disagree.
Four gaps that sit between an offline number and what people actually experience — and the one test that exposes all of them.Continue reading on Medium »
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