smbinning.metrics.plot {smbinning}

Visualization of a Classification Matrix

Description

It generates four plots after running and saving the output report from smbinning.metrics.

Usage

smbinning.metrics.plot(df, cutoff = NA, plot = "cmactual")

Arguments

df

Data frame generated with smbinning.metrics.

cutoff

Value of the classifier that splits the data between positive (>=) and negative (<).

plot

Plot to be drawn. Options are: 'cmactual' (default),'cmactualrates','cmmodel','cmmodelrates'.

Examples

# Load library and its dataset
library(smbinning)
smbmetricsdf=smbinning.metrics(dataset=smbsimdf1, prediction="cbs1",
                               actualclass="fgood", returndf=1)

# Example 1: Plots based on optimal cutoff
smbinning.metrics.plot(df=smbmetricsdf,plot='cmactual')

# Example 2: Plots using user defined cutoff
smbinning.metrics.plot(df=smbmetricsdf,cutoff=600,plot='cmactual')
smbinning.metrics.plot(df=smbmetricsdf,cutoff=600,plot='cmactualrates')
smbinning.metrics.plot(df=smbmetricsdf,cutoff=600,plot='cmmodel')
smbinning.metrics.plot(df=smbmetricsdf,cutoff=600,plot='cmmodelrates')