ReduceResults: Reduce Results

In PauloCirino/MLAT: Machine Learning Automated Software

Description

Reduce Results

Reduces result table by parameter

Usage

ReduceResults(resultTable, reductionMetric, reductionMethod,
  reductionOrder = "max")

Arguments

resultTable	Table resulted from a MLAT::RunTests() call
reductionMetric	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.

Value

A reduced Table of type testResultTable .

Examples

cmpTestsFuncsList <- GetAllMultClassAlgo()
task <- 'MultClass'
dataSetNames <- c('Iris', 'PimaIndiansDiabetes')
myResult <- RunTests(cmpTestsFuncsList = GetAllMultClassAlgo(),
                     task = 'MultClass',
                     dataSetNames = c('Iris', 'PimaIndiansDiabetes'))
reducedTable <- ReduceResults(resultTable = myResult,
                             reductionMetric = 'Accuracy Macro',
                             reductionMethod = 'mean',
                             reductionOrder = 'max' )

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