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 |
0.7973 ± 0.0464 Per class |
0.0077 |
1014604663.8 |
0.6907 ± 0.0624 Per class |
0.3049 ± 0.1352 |
0.1805 ± 0.0409 |
0.38 ± 0.0149 |
0.4545 ± 0.0015 |
768 Per class |
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic] |
0.7178 ± 0.0522 Per class |
0.7214 ± 0.0434 |
0.9331 ± 0.0046 |
0.7214 ± 0.0434 Per class |
0.8361 ± 0.0321 |
0.4766 ± 0.0016 |
0.4228 ± 0.0138 |
0.8871 ± 0.0281 |
1914.93 |