Publications by Jose Tamez
SONAR data set and CARET Methods
1 CARET FRESA.CAD Sonar Benchmark We will show hot to integrate caret models into FRESA benchmarking 1.1 The required libraries library("FRESA.CAD") library("mlbench") library(fastAdaboost) library(gbm) library(caret) library(doParallel) cl <- makePSOCKcluster(6) registerDoParallel(cl) 1.2 Sonar Data Set Loading the data from the mlbech...
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Colon Cancer FRESA.CAD Cross-Validation
#Model Evaluation ##The Colon Cancer Data Set ColonData <- read.delim("C:/Users/jtame/Documents/GitHub/FresaTests/DataSets/cancerColonb.txt") Colon <- ColonData[,-1] rownames(Colon) <- ColonData[,1] ExperimentName <- "Colon" bswimsReps <- 5; theData <- Colon; theOutcome <- "Class"; reps <- 5; fraction <- 0.8; theData[,1:ncol(theData)] ...
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Filtered Fit of ML and the decorrelation
Filtered ML fit and the GDSTM with FRESA.CAD Here we make use of the FRESA.CAD::filteredfit() function to train ML models with and without GDSTM. Naive-Bayes (NB) and LASSO models are used in this demo. This scrip uses FRESA.CAD and mlbench R packages: knitr::opts_chunk$set(collapse = TRUE, warning = FALSE, message = FALSE,comment = "#>") libra...
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FCA and the GDSTM: Multiple Features
GDSTM Decorrelation on the multiple features Dataset This document describes the use of the FRESA.CAD::GDSTMDecorrelation() function that runs the feature correlation analysis (FCA) algorithm on the mfeat data set: https://archive.ics.uci.edu/ml/datasets/Multiple+Features M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritte...
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FCA and the GDSTM: Tutorial
FCA-Based Decorrelation on Vehicle This document describes the use of the FRESA.CAD::GDSTMDecorrelation() function that runs the feature correlation analysis (FCA) algorithm. This demo uses FRESA.CAD and mlbench R packages: knitr::opts_chunk$set(collapse = TRUE, warning = FALSE, message = FALSE,comment = "#>") library("FRESA.CAD") Loading requi...
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FCA and the GDSTM
FCA-Based Decorrelation on Vehicle This document describes the use of the FRESA.CAD::GDSTMDecorrelation() function that runs the feature correlation analysis (FCA) algorithm. This demo uses FRESA.CAD and mlbench R packages: knitr::opts_chunk$set(collapse = TRUE, warning = FALSE, message = FALSE,comment = "#>") library("FRESA.CAD") Loading requi...
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FCA and the GDSTM: ARCENE
Filtered ML fit and the GDSTM with FRESA.CAD Here we make use of the FRESA.CAD::filteredfit() function to train ML models with and without GDSTM on the ARCENE data set. Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror, 2004. Result analysis of the NIPS 2003 feature selection challenge. In: NIPS. \[Web Link\]. from: https://archive.ics.uci...
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