Issue | #Downvotes for this reason | By |
---|
weka.RandomSubSpace_REPTree(4) | Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html. |
weka.REPTree(9)_M | 2 |
weka.REPTree(9)_V | 0.001 |
weka.REPTree(9)_N | 3 |
weka.REPTree(9)_S | 1 |
weka.REPTree(9)_L | -1 |
weka.REPTree(9)_I | 0.0 |
weka.RandomSubSpace_REPTree(4)_P | 0.5 |
weka.RandomSubSpace_REPTree(4)_S | 1 |
weka.RandomSubSpace_REPTree(4)_num-slots | 1 |
weka.RandomSubSpace_REPTree(4)_I | 80 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9884 ± 0.0043 Per class |
0.8845 ± 0.0232 Per class |
0.8718 ± 0.0254 |
0.7706 ± 0.0164 |
0.0674 ± 0.0032 |
0.18 |
20000 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.885 ± 0.0227 Per class |
0.8847 ± 0.0229 |
3.3219 |
0.8847 ± 0.0229 Per class |
0.3744 ± 0.0178 |
0.3 |
0.1509 ± 0.0067 |
0.503 ± 0.0223 |
940.5508 |
6630 |
170 |
6460 |