mccf1: Perform MCCF1 analysis

In mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold

Description

'mccf1()' performs MCC (Matthews correlation coefficient)-F1 analysis for paired vectors of binary response classes and fractional prediction scores representing the performance of a binary classification task.

Usage

mccf1(response, predictor)

Arguments

response	numeric vector representing ground truth classes (0 or 1).
predictor	numeric vector representing prediction scores (in the range [0,1]).

Value

S3 object of class "mccf1", a list with the following members: 'thresholds': vector of doubles describing the thresholds; 'normalized_mcc': vector of doubles representing normalized MCC for each threshold; 'f1': vector of doubles representing F1 for each threshold.

Examples

response <- c(rep(1L, 1000L), rep(0L, 10000L))
set.seed(2017)
predictor <- c(rbeta(300L, 12, 2), rbeta(700L, 3, 4), rbeta(10000L, 2, 3))
x <- mccf1(response, predictor)
head(x$thresholds)
# [1]  Inf 0.9935354 0.9931493 0.9930786 0.9925507 0.9900520
head(x$normalized_mcc)
# [1]  NaN 0.5150763 0.5213220 0.5261152 0.5301566 0.5337177
head(x$f1)
# [1]  NaN 0.001998002 0.003992016 0.005982054 0.007968127 0.009950249

Example output

Loading required package: ggplot2
[1]       Inf 0.9935354 0.9931493 0.9930786 0.9925507 0.9900520
[1]       NaN 0.5150763 0.5213220 0.5261152 0.5301566 0.5337177
[1]         NaN 0.001998002 0.003992016 0.005982054 0.007968127 0.009950249

mccf1 documentation built on Nov. 12, 2019, 1:07 a.m.