fnr: False Negative Rate
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models

False Negative Rate

mtr_fnr(actual, predicted, cutoff = 0.5)

mtr_miss_rate(actual, predicted, cutoff = 0.5)

mtr_false_negative_rate(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