add_prob: Add Class Probability

In modeval: Evaluation of Classification Model Options

Description

add_prob Adds class probability results with given dataset (x, y) to the summary list for the all model fits exists in it. Like add_model, it also ensures to conduct prediction for the model and data supports classification.

Usage

add_prob(addTo, x, y, outChar, predTag = NULL)

Arguments

addTo	Summary list that will contain all model fit results.
x	A dataframe of input variables.
y	A vector or a dataframe of output variable.
outChar	A charactor value of output class name.
predTag	A charactor value of tag that to be added to the pred result.

Value

Results of each model fitting are added to the summary list.

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")
sSummary$glm$pred_test

# vignette("modeval") #check a vignette for further details

## End(Not run)

modeval documentation built on May 29, 2017, 10:54 a.m.