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 |
0.8762 Per class Cross-validation details (33% Holdout set)
|
0.5407 Per class Cross-validation details (33% Holdout set)
|
0.3472 Cross-validation details (33% Holdout set)
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57.1994 Cross-validation details (33% Holdout set)
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0.0653 Cross-validation details (33% Holdout set)
|
0.0878 Cross-validation details (33% Holdout set)
|
149 Per class Cross-validation details (33% Holdout set) |
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] |
0.5696 Per class Cross-validation details (33% Holdout set)
|
0.6309 Cross-validation details (33% Holdout set)
|
2.5222 Cross-validation details (33% Holdout set)
|
0.6309 Per class Cross-validation details (33% Holdout set)
|
0.7431 Cross-validation details (33% Holdout set)
|
0.211 Cross-validation details (33% Holdout set)
|
0.176 Cross-validation details (33% Holdout set)
|
0.8341 Cross-validation details (33% Holdout set)
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1347.5461 |
1310 Cross-validation details (33% Holdout set)
|
20 |
1290 Cross-validation details (33% Holdout set)
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