Name
Title | ||
|---|---|---|
Evaluation of Random Subspace and Random Forest Regression Models Based on Genetic Fuzzy Systems. |
Abstract | ||
|---|---|---|
The random subspace and random forest ensemble methods using a genetic fuzzy rule-based system as a base learning algorithm were developed in Matlab environment. The methods were applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The computationally intensive experiments were conducted aimed to compare the accuracy of ensembles generated by the proposed methods with bagging, repeated holdout, and repeated cross-validation models. The statistical analysis of results was made employing nonparametric Friedman and Wilcoxon statistical tests. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.3233/978-1-61499-105-2-88 | ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS |
Keywords | Field | DocType |
genetic fuzzy systems,random subspaces,random forest,bagging,repeated holdout,cross-validation,property valuation,noised data | Pattern recognition,Subspace topology,Random subspace method,Multivariate random variable,Artificial intelligence,Exponential random graph models,Random forest,Mathematics,Genetic fuzzy systems | Conference |
Volume | ISSN | Citations |
243 | 0922-6389 | 1 |
PageRank | References | Authors |
0.35 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadeusz Lasota | 1 | 348 | 25.33 |
| Zbigniew Telec | 2 | 170 | 14.92 |
| Bogdan Trawinski | 3 | 115 | 12.89 |
| Grzegorz Trawiński | 4 | 47 | 4.81 |