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 |
0.9892 ± 0.0017 Per class |
0.8962 ± 0.0134 Per class |
0.8757 ± 0.0164 |
0.8343 ± 0.0075 |
0.0637 ± 0.0019 |
0.2701 ± 0 |
6430 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8969 ± 0.0138 Per class |
0.8998 ± 0.0132 |
2.4834 ± 0.0009 |
0.8998 ± 0.0132 Per class |
0.2359 ± 0.007 |
0.3675 ± 0 |
0.1591 ± 0.0056 |
0.4329 ± 0.0153 |
904.333 |
10090 |
360 |
9730 |