DEVELOPMENT... OpenML
Run
16073

Run 16073

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

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I80
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9091
Per class
F measure
0.8695
Per class
Kappa
0.7358
KB relative information score
492.9073
Mean absolute error
0.1426
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
0.8695
Per class
Predictive accuracy
0.8696
Prior entropy
0.9913
Recall
0.8696
Per class
Relative absolute error
0.2887
Root mean prior squared error
0.497
Root mean squared error
0.3398
Root relative squared error
0.6837
SciMark benchmark
939.9419[547.4704052124141012.3220633477529480.4213690634573904.56866745157771754.9271701211055]