DEVELOPMENT... OpenML
Run
15896

Run 15896

Task 29 (Supervised Classification) credit-approval Uploaded 04-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_ADTree(1)Weka implementation of AttributeSelectedClassifier
weka.ADTree(1)_B10
weka.ADTree(1)_E-3
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_ADTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_ADTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_ADTree(1)_Wweka.classifiers.trees.ADTree
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
0.9171
Per class
F measure
0.8579
Per class
Kappa
0.7121
KB relative information score
360.0187
Mean absolute error
0.2566
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
0.8578
Per class
Predictive accuracy
0.858
Prior entropy
0.9913
Recall
0.858
Per class
Relative absolute error
0.5196
Root mean prior squared error
0.497
Root mean squared error
0.3325
Root relative squared error
0.6691
SciMark benchmark
920.5439[567.23271965926381014.4538012229739483.2321174670136900.2197247935821637.5811906640383]