modeval (version 0.1.3)

suggest_probCut: Compare Class Probability Distribution based on Probability Cut-off

Description

suggest_probCut Compare class probability distribution based on probability cut-off. x-axis: probability value. y-axis: observation density.

Usage

suggest_probCut(addTo, outChar, predTag = "pred_test", modelTag = NULL)

Arguments

addTo

Summary list that contains model fits to compare.

outChar

A charactor value of output class name.

predTag

Select prediction results that contains predTag on their name.

modelTag

Select model fits that contains modelTag on their name.

Value

Plot indicating density distribution by probability cut-off.

Examples

## Not run: ------------------------------------
# library(mlbench)
# data(PimaIndiansDiabetes)
# index <- sample(seq_len(nrow(PimaIndiansDiabetes)), 500)
# trainingSet <- PimaIndiansDiabetes[index, ]
# testSet <- PimaIndiansDiabetes[-index, ]
# x <- trainingSet[, -9]
# y <- trainingSet[, 9]
# x_test <- testSet[, -9]
# y_test <- testSet[, 9]
# sSummary <- list()
# sSummary <- add_model(sSummary, x, y)
# sSummary <- add_model(sSummary, x, y, model = c("C5.0Cost", "glmnet"), modelTag = "others")
# sSummary <- add_prob(sSummary, x_test, y_test, outChar = "pos")
# 
# suggest_probCut(sSummary, "pos")
# suggest_probCut(sSummary, "pos", modelTag = "glm|svm")
# 
# # vignette("modeval") #check a vignette for further details
## ---------------------------------------------