What is Precision?
Precision measures the proportion of observations that the algorithm predicts to be positive that actually are positive labels.
Precision measures the proportion of observations that the algorithm predicts to be positive that actually are positive labels.
One of the most useful tools for evaluating the performance of any classification algorithm is the confusion matrix.
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