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 | 80 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9631 ± 0.0201 Per class |
0.7863 ± 0.0747 |
0.6433 ± 0.0509 |
0.0866 ± 0.0063 |
0.1828 ± 0.0012 |
3360 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8488 ± 0.0519 |
2.1906 ± 0.0868 |
0.8488 ± 0.0519 Per class |
0.4738 ± 0.0333 |
0.3016 ± 0.0021 |
0.183 ± 0.0159 |
0.6068 ± 0.051 |
944.3124 |
110 |
20 |
90 |