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 |
0.8296 ± 0.0474 Per class |
0.7368 ± 0.0498 Per class |
0.4069 ± 0.1116 |
0.219 ± 0.0431 |
0.3662 ± 0.0151 |
0.4545 ± 0.0015 |
7680 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7511 ± 0.0518 Per class |
0.754 ± 0.0429 |
0.9331 ± 0.0044 |
0.754 ± 0.0429 Per class |
0.8058 ± 0.0335 |
0.4766 ± 0.0015 |
0.4091 ± 0.017 |
0.8583 ± 0.0358 |
940.5508 |
640 |
110 |
530 |