#' Problem: Comparison between several Machine Learning algorithms from the Weka library
#'
#' A problem containing experimental data obtaining by comparing several instances
#' of Machine Algorithms from the Weka library. The variables are as follows:
#'
#' \itemize{
#' \item method. Classification algorithms used in the experimen (NaiveBayes, J48, IBk)
#' \item problem. Problems used as benchmark in the comparison, up to 12.
#' \item featureSelection. Boolean parameter indicating if the data was preprocessed
#' \item fold. For each configuration a 10-fold cross validation was performed. This variable is a numeric value ranging from 1 to 10.
#' \item accuracy. This is a measure of the performance of each algorithm. Representing the percentage of correctly classified instances.
#' \item trainingTime. A second measure of performance. This one indicates the time in seconds that took the algorithm to build the model.
#' }
#' @docType data
#' @keywords problems
#' @name wekaExperiment
#' @usage data(wekaExperiment)
#' @format A data frame with the data detailed in the Description.
#'
"wekaExperiment"
#' Problem: Comparison between two Ionic Liquids packs to capture and reduce the
#' emission of CO2 in industrial fuel combustion processes.
#'
#' A problem containing the percentage of the CO2 reduction in the emission of 20 industrial
#' fuel combustion processes. It has been used two different Ionic Liquids (ILs) pills with
#' different properties. The pills has been reused up to three times, and each experiment
#' has been repeated three times under the same conditions. The variables of the problem are as follows:
#'
#' \itemize{
#' \item IL The name of the IL pills (IL1 and IL2).
#' \item Scenario The name of the industrial fuel combustion process (from Scenario 1 to Scenario20).
#' \item Execution The number of the execution for each experiment under the same conditions.
#' \item Reused The number of experiments which the IL pill has been used previously (from 0 to 2).
#' \item CO2 The percentage of CO2 which has been reduced from the emission.
#'}
#' @docType data
#' @keywords problems
#' @name ILsPaired
#' @usage data(ILsPaired)
#' @format A data frame with the data detailed in the Description.
#'
"ILsPaired"
#' Problem: Comparison between three Ionic Liquids packs to capture and reduce the
#' emission of CO2 in industrial fuel combustion processes.
#'
#' A problem containing the percentage of the CO2 reduction in the emission of 20 industrial
#' fuel combustion processes. It has been used three different Ionic Liquids (ILs) pills with
#' different properties. The pills has been reused up to three times, and each experiment
#' has been repeated three times under the same conditions. The variables of the problem are as follows:
#'
#' \itemize{
#' \item IL The name of the IL pills (IL1, IL2 and IL3).
#' \item Scenario The name of the industrial fuel combustion process (from Scenario 1 to Scenario20).
#' \item Execution The number of the execution for each experiment under the same conditions.
#' \item Reused The number of experiments which the IL pill has been used previously (from 0 to 2).
#' \item CO2 The percentage of CO2 which has been reduced from the emission.
#'}
#' @docType data
#' @keywords problems
#' @name ILsMultiple
#' @usage data(ILsMultiple)
#' @format A data frame with the data detailed in the Description.
#'
"ILsMultiple"
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