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 | 8 |
weka.RandomSubSpace_REPTree(2)_I | 10 |
weka.RandomSubSpace_REPTree(2)_W | weka.classifiers.trees.REPTree |
0.7198 Per class |
15.861 |
30.8457 |
1805619670.9208 |
0.7759 Per class |
0.0842 |
1337.7224 |
0.2576 |
0.2795 |
399482 Per class |
[Oracle Corporation, 1.8.0_20, amd64, Windows 7, 6.1] |
0.8197 Per class |
0.838 |
0.653 |
0.838 Per class |
0.9219 |
0.3738 |
0.355 |
0.9496 |
600.7502 |
6336180 |