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 | 20 |
weka.RotationForest_PrincipalComponents_J48(14)_W | weka.classifiers.trees.J48 |
0.9982 ± 0.0016 Per class |
0.9707 ± 0.0112 Per class |
0.9674 ± 0.0124 |
0.9258 ± 0.0081 |
0.0247 ± 0.0021 |
0.18 |
20000 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.9709 ± 0.0106 Per class |
0.9707 ± 0.0112 |
3.3219 |
0.9707 ± 0.0112 Per class |
0.137 ± 0.0114 |
0.3 |
0.0832 ± 0.0063 |
0.2772 ± 0.0209 |
944.3124 |
46700 |
14240 |
32460 |