DEVELOPMENT... OpenML
Run
16248

Run 16248

Task 31 (Supervised Classification) credit-g Uploaded 04-06-2014 by Felicia West
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Flow

weka.Bagging_BFTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.Bagging_BFTree(1)_I10
weka.Bagging_BFTree(1)_P100
weka.Bagging_BFTree(1)_S1
weka.Bagging_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(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
0.7654
Per class
F measure
0.7496
Per class
Kappa
0.3859
KB relative information score
231.0661
Mean absolute error
0.3183
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
0.7487
Per class
Predictive accuracy
0.761
Prior entropy
0.8818
Recall
0.761
Per class
Relative absolute error
0.7575
Root mean prior squared error
0.4583
Root mean squared error
0.4121
Root relative squared error
0.8992
SciMark benchmark
937.9433[546.4413182780979993.2758090577349484.1035797902428906.44537908266061759.4502550697425]