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 | 80 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.966 ± 0.0116 Per class |
0.2221 ± 0.0237 |
0.1953 ± 0.0048 |
0.229 ± 0.0006 |
17280 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7002 ± 0.0022 |
1.2058 ± 0.0089 |
0.7002 ± 0.0022 Per class |
0.8531 ± 0.0204 |
0.3381 ± 0.001 |
0.2931 ± 0.0054 |
0.8669 ± 0.0152 |
903.7946 |
180 |
60 |
120 |