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 |
0.9982 ± 0.0012 Per class |
0.0531 |
1763953920.8 |
0.9548 ± 0.0141 Per class |
0.9475 ± 0.0164 |
0.9197 ± 0.0101 |
0.034 ± 0.0037 |
0.2449 |
2310 Per class |
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic] |
0.9549 ± 0.0132 Per class |
0.955 ± 0.014 |
2.8074 |
0.955 ± 0.014 Per class |
0.1389 ± 0.0153 |
0.3499 |
0.1016 ± 0.0089 |
0.2903 ± 0.0254 |
1625.034 |