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 |
0.9824 ± 0.0032 Per class |
0.8283 ± 0.0266 Per class |
0.8118 ± 0.0287 |
0.7465 ± 0.0125 |
0.0758 ± 0.0023 |
0.18 |
20000 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8281 ± 0.0266 Per class |
0.8306 ± 0.0259 |
3.3219 |
0.8306 ± 0.0259 Per class |
0.4213 ± 0.013 |
0.3 |
0.167 ± 0.005 |
0.5568 ± 0.0167 |
937.6875 |
12500 |
240 |
12260 |