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 |
0.7468 ± 0.0538 Per class |
0.0178 |
1157749028.3556 |
0.6758 ± 0.0358 Per class |
0.2008 ± 0.0867 |
0.1126 ± 0.0317 |
0.3741 ± 0.0091 |
0.4202 |
1000 Per class |
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic] |
0.7318 ± 0.0669 Per class |
0.735 ± 0.028 |
0.8813 |
0.735 ± 0.028 Per class |
0.8904 ± 0.0217 |
0.4583 |
0.4231 ± 0.011 |
0.9233 ± 0.024 |
1597.1006 |