RemixAutoML (version 0.5.0)

ClassificationMetrics: ClassificationMetrics

Description

ClassificationMetrics

Usage

ClassificationMetrics(
  TestData,
  Thresholds,
  Target,
  PredictColumnName,
  PositiveOutcome,
  NegativeOutcome,
  CostMatrix = c(0, 1, 1, 0)
)

Arguments

TestData

Test data from your modeling

Thresholds

Value

Target

Name of your target variable

PredictColumnName

Name of your predicted value variable

PositiveOutcome

The value of the positive outcome level

NegativeOutcome

The value of the negative outcome level

CostMatrix

c(True Positive Cost, False Negative Cost, False Positive Cost, True Negative Cost)

See Also

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