Create a cumulative gains chart
Plot.Lift(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
ZVar = "N",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Confusion Matrix",
ShowLabels = FALSE,
Title.YAxis = "Lift",
Title.XAxis = "Population",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
plot
source data.table
logical
X-Axis variable name
Y-Axis variable name
character
Character variable
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns
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.
numeric
"400px"
"200px"
character
character
character
character
"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"
logical, zoom via mouse scroll
logical
character hex
Debugging purposes
Adrian Antico
Other Model Evaluation:
Plot.BinaryMetrics()
,
Plot.Calibration.Box()
,
Plot.Calibration.Line()
,
Plot.ConfusionMatrix()
,
Plot.Gains()
,
Plot.PartialDependence.Box()
,
Plot.PartialDependence.HeatMap()
,
Plot.PartialDependence.Line()
,
Plot.ROC()
,
Plot.Residuals.Histogram()
,
Plot.Residuals.Scatter()
,
Plot.ShapImportance()
,
Plot.VariableImportance()