vp_plot_unkn: Function to visualize losses to unknown category due to...

In vprr: Processing and Visualization of Video Plankton Recorder Data

Function to visualize losses to unknown category due to disagreement in Dual classifier

Description

Makes confusion matrix like plot, where x axis represent SVM classification, y axis represent NN classification Allows visual summary of data lost to unknown category

Usage

vp_plot_unkn(cm, classes, threshold = 0, summary = TRUE, sample_size = NULL)

Arguments

cm	dual unknown confusion matrix from VP
classes	taxa groups in order, from VP
threshold	minimum value which will be labelled in plot
summary	logical to add text summary to plot E. Chisholm May 2019
sample_size	character string describes the sample size used to train the model being plotted (optional)

vprr documentation built on July 12, 2022, 5:07 p.m.