Issue | #Downvotes for this reason | By |
---|
weka.RotationForest_PrincipalComponents_J48(14) | Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630. URL http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.211. |
weka.J48(28)_C | 0.25 |
weka.J48(28)_M | 2 |
weka.PrincipalComponents(12)_R | 1.0 |
weka.PrincipalComponents(12)_A | 5 |
weka.PrincipalComponents(12)_M | -1 |
weka.RotationForest_PrincipalComponents_J48(14)_G | 3 |
weka.RotationForest_PrincipalComponents_J48(14)_H | 3 |
weka.RotationForest_PrincipalComponents_J48(14)_P | 50 |
weka.RotationForest_PrincipalComponents_J48(14)_F | weka.filters.unsupervised.attribute.PrincipalComponents |
weka.RotationForest_PrincipalComponents_J48(14)_S | 1 |
weka.RotationForest_PrincipalComponents_J48(14)_num-slots | 1 |
weka.RotationForest_PrincipalComponents_J48(14)_I | 40 |
weka.RotationForest_PrincipalComponents_J48(14)_W | weka.classifiers.trees.J48 |
0.7859 ± 0.0502 Per class |
0.7457 ± 0.0384 Per class |
0.3744 ± 0.0959 |
0.2167 ± 0.0529 |
0.3246 ± 0.0177 |
0.4202 |
10000 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.746 ± 0.0413 Per class |
0.7593 ± 0.0351 |
0.8813 |
0.7593 ± 0.0351 Per class |
0.7726 ± 0.042 |
0.4583 |
0.4039 ± 0.021 |
0.8814 ± 0.0458 |
937.5156 |
5080 |
890 |
4190 |