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 | 160 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9984 ± 0.002 Per class |
0.9622 ± 0.0335 Per class |
0.953 ± 0.0404 |
0.8642 ± 0.0196 |
0.0592 ± 0.0062 |
0.2664 ± 0.0004 |
3660 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.9628 ± 0.0283 Per class |
0.9626 ± 0.0321 |
2.4327 ± 0.0089 |
0.9626 ± 0.0321 Per class |
0.2221 ± 0.0231 |
0.3649 ± 0.0006 |
0.1272 ± 0.0148 |
0.3487 ± 0.0405 |
940.5508 |
280 |
50 |
230 |