DEVELOPMENT... OpenML
Run
22414

Run 22414

Task 29 (Supervised Classification) credit-approval Uploaded 21-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NBTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NBTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NBTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NBTree(1)_Wweka.classifiers.trees.NBTree
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1

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
0.9192
Per class
F measure
0.8547
Per class
Kappa
0.7054
KB relative information score
445.8772
Mean absolute error
0.1823
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
0.8549
Per class
Predictive accuracy
0.8551
Prior entropy
0.9913
Recall
0.8551
Per class
Relative absolute error
0.3692
Root mean prior squared error
0.497
Root mean squared error
0.3274
Root relative squared error
0.6589
SciMark benchmark
926.4606[559.7691083998442983.391137968298463.6190980458834900.52902369517021724.9947960085244]