DEVELOPMENT... OpenML
Run
8626

Run 8626

Task 29 (Supervised Classification) credit-approval Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I90
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
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

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
0.9292
Per class
F measure
0.8641
Per class
Kappa
0.7263
KB relative information score
426.1033
Mean absolute error
0.202
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8666
Per class
Predictive accuracy
0.8638
Prior entropy
0.9913
Recall
0.8638
Per class
Relative absolute error
0.409
Root mean prior squared error
0.497
Root mean squared error
0.317
Root relative squared error
0.6379
SciMark benchmark
949.7477[565.57740346189041013.9200573100866484.54051677983614914.98778054938791769.7127006129608]