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 |
0.7193 ± 0.0133 Per class |
0.0098 |
373260721.36 |
0.5255 ± 0.0237 Per class |
0.262 ± 0.0366 |
0.1559 ± 0.0167 |
0.3894 ± 0.0053 |
0.4308 ± 0.0004 |
1473 Per class |
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic] |
0.5318 ± 0.0252 Per class |
0.537 ± 0.0208 |
1.539 ± 0.0029 |
0.537 ± 0.0208 Per class |
0.9037 ± 0.0125 |
0.4641 ± 0.0005 |
0.434 ± 0.003 |
0.935 ± 0.0068 |
1462.4645 |