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 |
0.7294 ± 0.0269 Per class |
0.5321 ± 0.0351 Per class |
0.2744 ± 0.054 |
0.1612 ± 0.0155 |
0.3876 ± 0.0056 |
0.4308 ± 0.0004 |
14730 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.5347 ± 0.0378 Per class |
0.5434 ± 0.0339 |
1.539 ± 0.0028 |
0.5434 ± 0.0339 Per class |
0.8996 ± 0.0129 |
0.4641 ± 0.0004 |
0.4319 ± 0.0056 |
0.9306 ± 0.012 |
935.5676 |
820 |
160 |
660 |