Issue | #Downvotes for this reason | By |
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weka.RandomSubSpace_REPTree(4) | 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(9)_M | 2 |
weka.REPTree(9)_V | 0.001 |
weka.REPTree(9)_N | 3 |
weka.REPTree(9)_S | 1 |
weka.REPTree(9)_L | -1 |
weka.REPTree(9)_I | 0.0 |
weka.RandomSubSpace_REPTree(4)_P | 0.5 |
weka.RandomSubSpace_REPTree(4)_S | 1 |
weka.RandomSubSpace_REPTree(4)_num-slots | 1 |
weka.RandomSubSpace_REPTree(4)_I | 40 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9881 Per class Cross-validation details (33% Holdout set)
|
0.8902 Per class Cross-validation details (33% Holdout set)
|
0.8687 Cross-validation details (33% Holdout set)
|
1749.0403 Cross-validation details (33% Holdout set)
|
0.0658 Cross-validation details (33% Holdout set)
|
0.27 Cross-validation details (33% Holdout set)
|
2121 Per class Cross-validation details (33% Holdout set) |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8916 Per class Cross-validation details (33% Holdout set)
|
0.8944 Cross-validation details (33% Holdout set)
|
2.4836 Cross-validation details (33% Holdout set)
|
0.8944 Per class Cross-validation details (33% Holdout set)
|
0.2436 Cross-validation details (33% Holdout set)
|
0.3674 Cross-validation details (33% Holdout set)
|
0.1627 Cross-validation details (33% Holdout set)
|
0.443 Cross-validation details (33% Holdout set)
|
932.0242 |
4540 Cross-validation details (33% Holdout set)
|
190 Cross-validation details (33% Holdout set)
|
4350 Cross-validation details (33% Holdout set)
|