RemixAutoML (version 0.5.0)

RemixClassificationMetrics: RemixClassificationMetrics

Description

RemixClassificationMetrics

Usage

RemixClassificationMetrics(
  TargetVariable = NULL,
  Thresholds = seq(0.01, 0.99, 0.01),
  CostMatrix = c(1, 0, 0, 1),
  ClassLabels = c(1, 0),
  ValidationData. = NULL
)

Arguments

TargetVariable

Name of your target variable

Thresholds

seq(0.01,0.99,0.01),

CostMatrix

c(1,0,0,1) c(TP utility, FN utility, FP utility, TN utility)

ClassLabels

c(1,0),

ValidationData.

Test data

See Also

Other Model Evaluation: BinaryMetrics(), ClassificationMetrics(), DT_BinaryConfusionMatrix(), MultiClassMetrics(), RegressionMetrics()

Examples

# NOT RUN {
RemixClassificationMetrics <- function(
  TargetVariable = "Adrian",
  Thresholds = seq(0.01,0.99,0.01),
  CostMatrix = c(1,0,0,1),
  ClassLabels = c(1,0),
  ValidationData. = ValidationData)
# }