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 |
0.8956 ± 0.0574 Per class |
0.8446 ± 0.0577 Per class |
0.6615 ± 0.1248 |
0.3742 ± 0.0587 |
0.3158 ± 0.0226 |
0.4662 ± 0.0029 |
3680 Per class |
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] |
0.8505 ± 0.0514 Per class |
0.8486 ± 0.0522 |
0.9503 ± 0.0087 |
0.8486 ± 0.0522 Per class |
0.6775 ± 0.0476 |
0.4827 ± 0.0031 |
0.3609 ± 0.0306 |
0.7477 ± 0.0627 |
1353.9359 |
100 |
100 |