tpr: True Positive Rate
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models

Description Usage Arguments Value Author(s)

True Positive Rate

mtr_tpr(actual, predicted, cutoff = 0.5)

mtr_true_positive_rate(actual, predicted, cutoff = 0.5)

mtr_hit_rate(actual, predicted, cutoff = 0.5)

mtr_sensitivity(actual, predicted, cutoff = 0.5)

mtr_detection_rate(actual, predicted, cutoff = 0.5)

mtr_recall(actual, predicted, cutoff = 0.5)

`actual`	`[numeric]` Ground truth binary numeric vector containing 1 for the positive class and 0 for the negative class.
`predicted`	`[numeric]` A vector of estimated probabilities.
`cutoff`	`[numeric]` A cutoff value for `predicted` vector which classify a sample into a given class. Default value is 0.5