Plot.ConfusionMatrix {AutoPlots} | R Documentation |
Plot.ConfusionMatrix
Description
Generate variable importance plots
Usage
Plot.ConfusionMatrix(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
ZVar = "N",
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_X = 50,
NumLevels_Y = 50,
Height = NULL,
Width = NULL,
Title = "Confusion Matrix",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
AggMethod = "count",
GroupVar = NULL,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
FALSE |
XVar |
Column name of X-Axis variable. If NULL then ignored |
YVar |
Column name of Y-Axis variable. If NULL then ignored |
ZVar |
= "N" |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 21, |
NumLevels_X |
= NumLevels_Y, |
NumLevels_Y |
= NumLevels_X, |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
'darkblue' |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
GroupVar |
= NULL |
xaxis.rotate |
numeric |
yaxis.rotate |
numeric |
ContainLabel |
logical |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics()
,
Plot.Calibration.Box()
,
Plot.Calibration.Line()
,
Plot.Gains()
,
Plot.Lift()
,
Plot.PartialDependence.Box()
,
Plot.PartialDependence.HeatMap()
,
Plot.PartialDependence.Line()
,
Plot.ROC()
,
Plot.Residuals.Histogram()
,
Plot.Residuals.Scatter()
,
Plot.ShapImportance()
,
Plot.VariableImportance()