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 |
1 Per class |
0.0256 |
908879083.0933 |
1 Per class |
1 |
0.9914 ± 0.0017 |
0.0057 ± 0.0011 |
0.4994 ± 0 |
8124 Per class |
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic] |
1 Per class |
1 |
0.9991 ± 0.0001 |
1 Per class |
0.0115 ± 0.0022 |
0.4997 ± 0 |
0.0212 ± 0.0036 |
0.0425 ± 0.0073 |
1914.93 |