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 |
0.9265 ± 0.0327 Per class |
0.8636 ± 0.0377 Per class |
0.7233 ± 0.0764 |
0.494 ± 0.0443 |
0.2741 ± 0.0199 |
0.494 ± 0.0007 |
6900 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8639 ± 0.0369 Per class |
0.8639 ± 0.0372 |
0.9912 ± 0.0021 |
0.8639 ± 0.0372 Per class |
0.5548 ± 0.0401 |
0.497 ± 0.0007 |
0.3327 ± 0.0262 |
0.6694 ± 0.0527 |
904.333 |
280 |
40 |
240 |