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 |
0.875 ± 0.0341 Per class |
0.5057 ± 0.0925 |
0.4281 ± 0.0458 |
0.061 ± 0.0027 |
0.0855 ± 0.0007 |
4520 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7088 ± 0.0464 |
2.4124 ± 0.056 |
0.7088 ± 0.0464 Per class |
0.7135 ± 0.03 |
0.2055 ± 0.0018 |
0.1642 ± 0.0084 |
0.7991 ± 0.0394 |
938.3789 |
3490 |
40 |
3450 |