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 |
0.4201 Per class |
0.5911 Per class |
1.4088 |
0.2823 |
0.2871 |
90 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.5057 Per class |
0.7111 |
1.0305 |
0.7111 Per class |
0.9835 |
0.3755 |
0.3763 |
1.0022 |
881.2594[573.0094255478485857.5678798364443483.449727694041913.39368876640651578.8763106875435] |