DEVELOPMENT... OpenML
Run
21118

Run 21118

Task 31 (Supervised Classification) credit-g Uploaded 18-06-2014 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)_I40
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
0.7887
Per class
F measure
0.7499
Per class
Kappa
0.3841
KB relative information score
228.6337
Mean absolute error
0.3208
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
0.7512
Per class
Predictive accuracy
0.764
Prior entropy
0.8818
Recall
0.764
Per class
Relative absolute error
0.7634
Root mean prior squared error
0.4583
Root mean squared error
0.4029
Root relative squared error
0.8791
SciMark benchmark
944.9234[558.87239489411121014.1867954103211473.84898880647887913.71210817040291763.996579689319]