Research Article
Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines
Table 3
Disagreement measurement between base classifiers in AELME.
| | Dataset | Disagreement |
| | Iris | 0.0169 | | Climate | 0.0530 | | Credit | 0.0946 | | Wave | 0.1083 | | Satellite | 0.0568 | | Firm | 0.0751 | | Letter | 0.1607 | | Colon | 0.0500 | | Liver | 0.0289 | | Vowel | 0.0130 |
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