DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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weka.RandomSubSpace_REPTree(1) | 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(1)_I | 0.0 |
weka.REPTree(1)_L | -1 |
weka.REPTree(1)_M | 2 |
weka.REPTree(1)_N | 3 |
weka.REPTree(1)_S | 1 |
weka.REPTree(1)_V | 0.001 |
weka.RandomSubSpace_REPTree(1)_I | 10 |
weka.RandomSubSpace_REPTree(1)_P | 0.5 |
weka.RandomSubSpace_REPTree(1)_S | 1 |
weka.RandomSubSpace_REPTree(1)_W | weka.classifiers.trees.REPTree |
weka.RandomSubSpace_REPTree(1)_num-slots | 1 |
0.6665 Per class |
0.655 Per class |
0.1445 |
19.0905 |
0.3879 |
0.4183 |
286 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.6958 Per class |
0.7203 |
0.8796 |
0.7203 Per class |
0.9274 |
0.457 |
0.4399 |
0.9624 |
946.2791[565.21084232176751014.4538012229739479.1351424176555913.71210817040291758.8835103978397] |