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 |
0.3616 ± 0.2018 Per class |
0.0123 ± 0.0085 |
0.2831 ± 0.0182 |
0.2871 ± 0.0196 |
900 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7111 ± 0.0547 |
0.983 ± 0.181 |
0.7111 ± 0.0547 Per class |
0.9862 ± 0.0069 |
0.3755 ± 0.0263 |
0.3774 ± 0.0275 |
1.005 ± 0.0056 |
940.5508 |
40 |
10 |
30 |