DEVELOPMENT... OpenML
Run
16566

Run 16566

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

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I160
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.8724
Per class
F measure
0.8666
Per class
Kappa
0.7297
KB relative information score
501.7395
Mean absolute error
0.1342
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
0.8665
Per class
Predictive accuracy
0.8667
Prior entropy
0.9913
Recall
0.8667
Per class
Relative absolute error
0.2716
Root mean prior squared error
0.497
Root mean squared error
0.3654
Root relative squared error
0.7354
SciMark benchmark
944.5175[564.29653665317711013.6533959159474478.4945829226523914.03074966105571752.112015678972]

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