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 |
0.9976 Per class |
0.9637 Per class |
0.9576 |
2141.1101 |
0.0306 |
0.2449 |
2310 Per class |
0.964 Per class |
0.9636 |
2.8074 |
0.9636 Per class |
0.1249 |
0.3499 |
0.0993 |
0.2837 |