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 |
0.9853 ± 0.0113 Per class |
0.8552 ± 0.0311 Per class |
0.6244 ± 0.0932 |
0.5695 ± 0.0343 |
0.0826 ± 0.0036 |
0.1343 ± 0.0012 |
8980 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8949 ± 0.0181 Per class |
0.8794 ± 0.0241 |
1.1915 ± 0.0248 |
0.8794 ± 0.0241 Per class |
0.6148 ± 0.0259 |
0.2582 ± 0.0023 |
0.1697 ± 0.0077 |
0.6573 ± 0.0292 |
935.5676 |
1620 |
130 |
1490 |