Metrics
Explore common metrics used to evaluate binary classification models such as true positive rate, false positive rate, precision, recall, and accuracy. Understand their meanings, how to calculate them using confusion matrices, and the trade-offs involved in optimizing these metrics for different applications.
We'll cover the following...
We'll cover the following...
Most commonly used metrics
Starting with these four numbers, TN, FP, FN, and TP, you may construct a ton of metrics. We are focusing here on the most commonly used: true and false-positive rates (TPR and FPR), precision, recall, and accuracy.
True and false-positive rates
Let us start with the first two:
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