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Source code for "Benchmark for filter methods for feature selection in high-dimensional classification data"
bommert/filter-benchmark-paper
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# Experiments: Files for running the experiments on a high performance compute cluster mlr_2.12.tar.gz: version of mlr that was used to run all experiments task_generation.R: creates tasksAndRins.RData and data_info.RData (necessary for experiments) filter_benchmark_experiments.R: definition of batchtools experiments for benchmark study filter_benchmark_results.R: extraction of results of benchmark study from batchtools registry filter_benchmark_results_stability.R: extraction of features for best configurations of benchmark study from batchtools registry and calculation of stability values filter_time_experiments.R: definition of batchtools experiments for scaling behavior study filter_time_results.R: extraction of results of scaling behavior study from batchtools registry The following files are sourced in filter_benchmark_experiments.R: config.R make_lrn.R microarray_filters.R paramset.R resampling.R The following files are sourced in filter_benchmark_results_stability.R: stability_measure.R # Evaluation: Files for generation of plots filter_benchmark_rank_cors.R: similarity of filter methods, creates mean_cor.RData filter_time_evaluation.R: comparison of scaling behavior filter_benchmark_tuning.R: determine best configurations per filter method and dataset filter_benchmark_evaluation.R: search for optimal filter methods filter_benchmark_evaluation_stability.R: stability analysis of best configurations tables.R: creation of tables # Notice In order for the code to run, there must be folders called Results and Plots in the same directory as the folders Experiments and Evaluation.
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Source code for "Benchmark for filter methods for feature selection in high-dimensional classification data"
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