hypotessesTesting: Hypoteses Testing

In PauloCirino/MLAT: Machine Learning Automated Software

Description

Hypoteses Testing

Performs Statistical Tests

Usage

hypotessesTesting(resultTable, testingMetric, method = "friedman",
  reductionMethod = "mean", reductionOrder = "max", alpha = 0.05)

Arguments

resultTable	Table resulted from a MLAT::RunTests() call
testingMetric	A decision metric, must have been selected in MLAT::RunTests() function call.
reductionMethod	A reduction method, can be 'mean' or 'median'.
reductionOrder	The reduction Order of selected values, max or min.
alpha	Test significance level.

Value

A list of type hypotesesTest.

Examples

cmpTestsFuncsList <- GetAllMultClassAlgo()
task <- 'MultClass'
dataSetNames <- MLAT::GetDataSetsNames(task = task)
myResult <- RunTests(cmpTestsFuncsList = GetAllMultClassAlgo(),
                     task = task,
                     dataSetNames = dataSetNames)
hypotessesTesting(resultTable = myResult,
                 testingMetric = 'F1 Macro',
                 method = 'friedman',
                 reductionMethod = 'mean',
                 reductionOrder = 'max',
                 alpha = 0.05)

PauloCirino/MLAT documentation built on May 13, 2019, 1:22 p.m.