Machine Learning Resources

What is Precision?

Precision measures the proportion of observations that the algorithm predicts to be positive that actually are positive labels.

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What is Recall?

Recall measures the proportion of actual observations that belong to the positive class that were correctly classified

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What is Accuracy?

Accuracy is the most straight-forward evaluation metric for a classification problem, and it simply measures the overall proportion of observations that were correctly classified.

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