modeval (version 0.1.3)

add_prob: Add Class Probability

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
## ---------------------------------------------