Model Metric Battle Deck
Recall when to use common classification metrics and how to respond to misleading metric claims.
quick-ref-deck comparison-card battlecard When is accuracy a reasonable lead metric? When classes are fairly balanced and false positives and false negatives have similar cost. If the positive class is rare, accuracy can look high while the model misses most positives. Precision versus recall: which mistake does each control? Most operational classifiers need a threshold that balances both. The model is 96% accurate, so why do we need more metrics? The positive class is rare and the launch decision affects customer reviews. Your line Accuracy tells us overall correctness. For this decision, we also need how many risky cases we catch…
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