roc_performance_measures: [!!!] Performance measures

Description Usage Arguments Author(s) See Also

Description

Calculate various performance measures for classificatory analysis
[!!!] (...The description is incomplete...)

Usage

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Arguments

TP

(numeric) Number of true positives.

FN

(numeric) Number of false negatives.

FP

(numeric) Number of false positives.

TN

(numeric) Number of true negatives.

obj

Either an roc_result_list or an roc_results object.

SE

(numeric) Vector of sensitivities.

SP

(numeric) Vector of specificities

Author(s)

Vilmantas Gegzna

See Also

Other functions for ROC: access_elements, calculate_performance, print.as_str, roc_predict


GegznaV/manyROC documentation built on Sept. 17, 2018, 2:15 p.m.