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 |
0.9982 ± 0.0009 Per class |
0.259 |
1692731698.6286 |
0.9636 ± 0.009 Per class |
0.9595 ± 0.01 |
0.8815 ± 0.0075 |
0.0404 ± 0.0016 |
0.18 ± 0 |
5620 Per class |
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic] |
0.9637 ± 0.0088 Per class |
0.9635 ± 0.009 |
3.3218 ± 0.0001 |
0.9635 ± 0.009 Per class |
0.2246 ± 0.009 |
0.3 ± 0 |
0.1035 ± 0.005 |
0.3451 ± 0.0166 |
1206.3605 |