Research Article
A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification
Table 8
Paired
-test between proposed method and bagging.
| | Mean | Standard deviation | Standard error mean | 95% confidence interval of the difference | | df | Sig. | Lower | Upper |
| Proposed method – bagging on AR10P dataset | 1.536 | 1.495 | 0.451 | 0.531 | 2.541 | 3.407 | 10 | 0.007 | Proposed method – forest on ORL10P dataset | 3.500 | 1.179 | 0.373 | 2.657 | 4.343 | 9.391 | 9 | 0.000 | Proposed method – bagging on PIE10P dataset | 1.048 |
0.770 | 0.244 | 0.497 | 1.599 | 4.303 | 9 | 0.002 | Proposed method – bagging on PIX10P dataset | 2.100 | 0.568 | 0.180 | 1.694 | 2.506 | 11.699 | 9 | 0.000 | Proposed method – bagging on Leukemia dataset | 4.445 | 1.432 | 0.453 | 3.421 | 5.469 | 9.816 | 9 | 0.000 | Proposed method – bagging on Prostate dataset | 2.940 | 1.033 | 0.327 | 2.201 | 3.679 | 9.000 | 9 | 0.000 |
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