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06-benchmark

Benchmarking of TI methods on real and synthetic data

# script/folder description
1 馃搫submit_jobs.R Submit the jobs to the gridengine cluster
2 馃搫retrieve_results.R Retrieve the results from the gridengine cluster and aggregate the data
3 馃搫diagnostic_figures.R Create some diagnostic figures to get an overview of the results
3a 馃搫overall_comparison.R Overall comparison
3b 馃搫time_mem_predictions.R Comparison between predicted versus actual running time and memory usage
3c 馃搫normalisation.R Compare the effect of normalisation on the results
3d 馃搫compare_sources.R Compare the different dataset sources
馃搫inspect_identity_timings.R Check different benchmark component timings

The results of this experiment are available here.