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 | 160 |
weka.RandomSubSpace_REPTree(4)_W | weka.classifiers.trees.REPTree |
0.9756 ± 0.0034 Per class |
0.7556 ± 0.0249 Per class |
0.7383 ± 0.0278 |
0.7146 ± 0.0143 |
0.0827 ± 0.0026 |
0.18 |
20000 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7504 ± 0.0246 Per class |
0.7645 ± 0.025 |
3.3219 |
0.7645 ± 0.025 Per class |
0.4595 ± 0.0147 |
0.3 |
0.1769 ± 0.0052 |
0.5897 ± 0.0172 |
907.3673 |
8420 |
230 |
8190 |