DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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weka.RandomSubSpace_REPTree(1) | 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(1)_I | 0.0 |
weka.REPTree(1)_L | -1 |
weka.REPTree(1)_M | 2 |
weka.REPTree(1)_N | 3 |
weka.REPTree(1)_S | 1 |
weka.REPTree(1)_V | 0.001 |
weka.RandomSubSpace_REPTree(1)_I | 10 |
weka.RandomSubSpace_REPTree(1)_P | 0.5 |
weka.RandomSubSpace_REPTree(1)_S | 1 |
weka.RandomSubSpace_REPTree(1)_W | weka.classifiers.trees.REPTree |
weka.RandomSubSpace_REPTree(1)_num-slots | 1 |
0.9962 Per class |
0.9896 Per class |
0.9747 |
755.2162 |
0.0301 |
0.1343 |
898 Per class |
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.2] |
0.99 Per class |
0.99 |
1.2149 |
0.99 Per class |
0.2241 |
0.2582 |
0.0849 |
0.3288 |
1353.4029[953.39747372926411204.7233107961476677.22599981601631284.39007451603132647.277474197612] |