Benchmark experiments: a tool for analyzing statistical learning algorithms

@inproceedings{Eugster2011BenchmarkEA,
  title={Benchmark experiments: a tool for analyzing statistical learning algorithms},
  author={Manuel J. A. Eugster},
  year={2011}
}
Benchmark experiments nowadays are the method of choice to evaluate learning algorithms in most research fields with applications related to statistical learning. Benchmark experiments are an empirical tool to analyze statistical learning algorithms on one or more data sets: to compare a set of algorithms, to find the best hyperparameters for an algorithm, or to make a sensitivity analysis of an algorithm. In the main part, this dissertation focus on the comparison of candidate algorithms and… CONTINUE READING