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 | 40 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9743 ± 0.0039 Per class |
0.7544 ± 0.0247 Per class |
0.7361 ± 0.0278 |
0.7134 ± 0.0145 |
0.0828 ± 0.0027 |
0.18 |
20000 Per class |
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] |
0.7503 ± 0.0242 Per class |
0.7625 ± 0.025 |
3.3219 |
0.7625 ± 0.025 Per class |
0.46 ± 0.0149 |
0.3 |
0.1778 ± 0.0052 |
0.5927 ± 0.0172 |
1323.4784 |
2280 |
50 |
2230 |