plotPerf: Line plot of classification statistics

In luannnguyen/mltoolkit: Various tools for training machine learning classifiers

Description

Plots the classification statistics (e.g. true positive rate, true negative rate) as a line plot.

Usage

plotPerf(
  confusion,
  metrics = c("tpr", "tnr"),
  avg.method = NULL,
  title = NULL,
  show.intersection = F,
  intersection.only = F,
  legend.in.plot = T
)

Arguments

metrics	A character vector of the desired statistics. Multiple metrics can be specified.
title	User specified plot title. If unspecified, the plot title defaults to the names of the statistics chosen.
show.intersection	Show the intersection of 2 performance metrics.
intersection.only	Only return the intersection value (cutoff value)
legend.in.plot	Put legend within plot area?
m	A matrix or data frame with each row being a confusion matrix. The output of confusionMatrix(probs.predicted, logicals.expected, cutoff = 'all')

Value

Returns a ggplot2 line plot

luannnguyen/mltoolkit documentation built on Aug. 29, 2020, 8:31 a.m.