Issue | #Downvotes for this reason | By |
---|
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 | 10 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9767 ± 0.0042 Per class |
0.8572 ± 0.0208 |
0.5008 ± 0.0652 |
0.1686 ± 0.0187 |
0.273 ± 0.0001 |
129600 Per class |
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] |
0.9036 ± 0.014 |
1.7165 ± 0.0037 |
0.9036 ± 0.014 Per class |
0.6176 ± 0.0686 |
0.3695 ± 0.0001 |
0.2457 ± 0.0186 |
0.6649 ± 0.0504 |
1323.4784 |
190 |
40 |
150 |