Name
Title | ||
|---|---|---|
Nonparametric statistical analysis of machine learning algorithms for regression problems |
Abstract | ||
|---|---|---|
Several experiments aimed to apply recently proposed statistical procedures which are recommended for analysing multiple 1×n and n×n comparisons of machine learning algorithms were conducted. 11 regression algorithms comprising 5 deterministic and 6 neural network ones implemented in the data mining system KEEL were employed. All experiments were performed using 29 benchmark datasets for regression. The investigation proved the usefulness and strength of multiple comparison statistical procedures to analyse and select machine learning algorithms. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15387-7_15 | KES (1) |
Keywords | Field | DocType |
select machine,neural network,benchmark datasets,data mining system keel,n comparison,statistical procedure,regression problem,nonparametric statistical analysis,regression algorithm,multiple comparison,analysing multiple,statistical test,multiple comparisons,data mining,decision tree,machine learning | Decision tree,Regression analysis,Computer science,Multiple comparisons problem,Algorithm,Nonparametric statistics,Bootstrap aggregating,Artificial intelligence,Artificial neural network,Ensemble learning,Machine learning,Statistical hypothesis testing | Conference |
Volume | ISSN | ISBN |
6276 | 0302-9743 | 3-642-15386-0 |
Citations | PageRank | References |
11 | 0.75 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdalena Graczyk | 1 | 54 | 3.39 |
| Tadeusz Lasota | 2 | 348 | 25.33 |
| Zbigniew Telec | 3 | 170 | 14.92 |
| Bogdan Trawiński | 4 | 288 | 24.72 |