QuestionQ22

ML Functional Performance Metrics

A motorcycle engine repair shop wants to detect a leaking exhaust valve and repair it before it fails, causing catastrophic engine damage. The shop developed and trained a predictive model using historical data files from known healthy engines and engines that experienced catastrophic failure because of exhaust valve failure. The shop evaluated 200 engines with this model, then disassembled the engines to determine the valves’ true condition and recorded the results in the confusion matrix below.

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What is this predictive model’s precision?

Explanation

Precision equals true positives divided by all predicted positives. With 90 true-positive predictions and 10 false-positive predictions, precision is 90 ÷ (90 + 10) = 90.0%.

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