DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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weka.RandomSubSpace_REPTree(4) | 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(9)_M | 2 |
weka.REPTree(9)_V | 0.001 |
weka.REPTree(9)_N | 3 |
weka.REPTree(9)_S | 1 |
weka.REPTree(9)_L | -1 |
weka.REPTree(9)_I | 0.0 |
weka.RandomSubSpace_REPTree(4)_P | 0.5 |
weka.RandomSubSpace_REPTree(4)_S | 1 |
weka.RandomSubSpace_REPTree(4)_num-slots | 1 |
weka.RandomSubSpace_REPTree(4)_I | 80 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9907 Per class |
0.9466 Per class |
0.92 |
128.1409 |
0.088 |
0.4444 |
150 Per class |
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.10.2] |
0.9471 Per class |
0.9467 |
1.585 |
0.9467 Per class |
0.198 |
0.4714 |
0.1634 |
0.3465 |
1289.6995 |
18.314 |
2.841 |
15.473 |