modeval (version 0.1.3)

suggest_probPop: Compare class probability distributions based on the population.

Description

suggest_probPop Compare class probability distribution based on the population of observations, sorted by probability values. x-axis: percentile of class probability. y-axis: observation density.

Usage

suggest_probPop(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 observed population.

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_probPop(sSummary, "pos")
# suggest_probPop(sSummary, "pos", modelTag = "glm|svm")
# 
# # vignette("modeval") #check a vignette for further details
## ---------------------------------------------