Metrics, Performance & Validation

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5 Terms

1
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What validation method is best when data is limited?

K-fold cross-validation — uses all data for both training and validation by rotating folds.

2
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What does “precision” measure?

How many of the predicted positives are actually positive.

3
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What does “recall” measure?

How many of the actual positives were correctly predicted.

4
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What is F1-score?

Harmonic mean of precision and recall; higher = better.

5
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Why use a confusion matrix?

To visualize model performance across classes.