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 |
0.8232 Per class |
0.7339 Per class |
0.4008 |
198.9195 |
0.3469 |
0.4545 |
768 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7428 Per class |
0.7487 |
0.9335 |
0.7487 Per class |
0.7633 |
0.4766 |
0.4042 |
0.8479 |
947.6248[566.86405431965431015.7906865781697484.9782432137119909.90626928802961760.5845701777503] |