metric_precision: metric_precision

In gloverd2/admr: Contains standard functions for Admiral Advance Analytics

Description

Returns the precision TP / (TP + FP) of a classification using the confusion matrix Note: Predictions should be annualized (independent of exposure) Note: Perfect precision is 1, poor model is 0

Usage

metric_precision(
  actual,
  predicted,
  weight = NULL,
  na.rm = FALSE,
  threshold = 0.5
)

Arguments

actual	Array[Numeric] - Values we are aiming to predict.
predicted	Array[Numeric] - Values that we have predicted.
weight	Optional: Array[Numeric] - Weighting of predictions. If NULL even weighting is used
na.rm	Optional: boolean - If FALSE function will return NA is any value in NA
threshold	Optional: Numeric between 0 and 1. If prediction proablity is below threshold the predicted value is 0.

Value

precision of classification TP / (TP + FP)

Examples

metric_precision(actual=c(0,1,0,0), predicted=c(0.1,0.9,0.4,0.6))

gloverd2/admr documentation built on Dec. 2, 2020, 11:16 p.m.