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 |
0.997 ± 0.0024 Per class |
0.9747 ± 0.0098 Per class |
0.9494 ± 0.0196 |
0.5679 ± 0.0191 |
0.2497 ± 0.0095 |
0.499 ± 0.0001 |
31960 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.9749 ± 0.0095 Per class |
0.9747 ± 0.0098 |
0.9986 ± 0.0002 |
0.9747 ± 0.0098 Per class |
0.5004 ± 0.0191 |
0.4995 ± 0.0001 |
0.274 ± 0.0094 |
0.5486 ± 0.0188 |
941.3619 |
3950 |
310 |
3640 |