DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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weka.RandomSubSpace_REPTree(2) | 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(5)_I | 0.0 |
weka.REPTree(5)_L | -1 |
weka.REPTree(5)_M | 2 |
weka.REPTree(5)_N | 3 |
weka.REPTree(5)_S | 1 |
weka.REPTree(5)_V | 0.001 |
weka.RandomSubSpace_REPTree(2)_P | 0.5 |
weka.RandomSubSpace_REPTree(2)_S | 1 |
weka.RandomSubSpace_REPTree(2)_num-slots | 1 |
weka.RandomSubSpace_REPTree(2)_I | 10 |
weka.RandomSubSpace_REPTree(2)_W | weka.classifiers.trees.REPTree |
0.9832 ± 0.0069 Per class |
0.1365 |
810104198.7636 |
0.868 ± 0.0226 Per class |
0.8533 ± 0.0251 |
0.7677 ± 0.0165 |
0.0671 ± 0.0033 |
0.18 |
2000 Per class |
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic] |
0.8691 ± 0.0204 Per class |
0.868 ± 0.0226 |
3.3219 |
0.868 ± 0.0226 Per class |
0.3726 ± 0.0183 |
0.3 |
0.1545 ± 0.007 |
0.515 ± 0.0233 |
1910.4834 |