DEVELOPMENT... OpenML
Run
9768

Run 9768

Task 31 (Supervised Classification) credit-g Uploaded 22-05-2014 by Felicia West
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Flow

weka.RandomSubSpace_REPTree(1)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(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
weka.RandomSubSpace_REPTree(1)_I10
weka.RandomSubSpace_REPTree(1)_P0.5
weka.RandomSubSpace_REPTree(1)_S1
weka.RandomSubSpace_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.RandomSubSpace_REPTree(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7537
Per class
F measure
0.6527
Per class
Kappa
0.1463
KB relative information score
113.2521
Mean absolute error
0.3731
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7009
Per class
Predictive accuracy
0.72
Prior entropy
0.8818
Recall
0.72
Per class
Relative absolute error
0.888
Root mean prior squared error
0.4583
Root mean squared error
0.4227
Root relative squared error
0.9225
SciMark benchmark
940.2105[536.35934497903171014.9881073746852480.85168147774846907.70090236320871761.152276377127]