false_positive: Calculate the number of the false positives.

In paulhendricks/scorer: Quickly Score Models in Data Science and Machine Learning

Description

Calculate the number of the false positives.

Usage

false_positive(y_true, y_pred)

Arguments

y_true	Ground truth (correct) target values.
y_pred	Estimated target values.

Value

A numeric vector of length one.

See Also

Other classification metrics: accuracy_score, accuracy, condition_negative, condition_positive, diagnostic_odds_ratio, f1_score, false_discovery_rate, false_negative_rate, false_negative, false_omission_rate, false_positive_rate, matthews_corrcoef, negative_likelihood_ratio, negative_predictive_value, positive_likelihood_ratio, positive_predictive_value, precision, predicted_condition_negative, predicted_condition_positive, prevalence, recall, sensitivity, specificity, total_population, true_negative_rate, true_negative, true_positive_rate, true_positive

Examples

false_positive(c(1, 1, 0, 0), c(1, 0, 1, 0))

paulhendricks/scorer documentation built on May 24, 2019, 8:44 p.m.