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 | 40 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9087 ± 0.0043 Per class |
0.8407 ± 0.0052 Per class |
0.541 ± 0.0155 |
0.3474 ± 0.0088 |
0.2354 ± 0.0022 |
0.3641 ± 0 |
48842 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.845 ± 0.0054 Per class |
0.8515 ± 0.0046 |
0.7938 ± 0.0002 |
0.8515 ± 0.0046 Per class |
0.6466 ± 0.006 |
0.4266 ± 0.0001 |
0.3236 ± 0.0025 |
0.7586 ± 0.0059 |
942.1241 |
18110 |
1090 |
17020 |