Precision, recall, and threshold tradeoffs (step 7/7) · metrics, slices, and error analysis

Checkpoint

One last thing before we move on. Same surface as a write step — but the lesson doesn't complete until this passes.

Checkpoint. See the tradeoff with your own code. Each case has a fraud score and the actual label. Write recall_at(cases, threshold) that flags every case with score >= threshold, then returns recall = (real fraud flagged) / (all real fraud).

Print recall at threshold 0.5 and at 0.8 in this exact format:

recall@0.5=1.00 recall@0.8=0.67

(Raising the threshold catches less fraud — recall drops.)

Checkpoint

One last thing before we move on. Same surface as a write step — but the lesson doesn't complete until this passes.

Print recall at threshold 0.5 and at 0.8 in this exact format:

recall@0.5=1.00 recall@0.8=0.67

(Raising the threshold catches less fraud — recall drops.)

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Precision, recall, and threshold tradeoffs — step 7 of 7