DEVELOPMENT... OpenML
Run
23077

Run 23077

Task 29 (Supervised Classification) credit-approval Uploaded 23-06-2014 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)_I40
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
0.8823
Per class
F measure
0.8649
Per class
Kappa
0.726
KB relative information score
499.0575
Mean absolute error
0.136
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
0.8652
Per class
Predictive accuracy
0.8652
Prior entropy
0.9913
Recall
0.8652
Per class
Relative absolute error
0.2754
Root mean prior squared error
0.497
Root mean squared error
0.3652
Root relative squared error
0.7349
SciMark benchmark
940.9029[544.22486162903641014.7209476623404478.28140966761225899.29332223166991767.9939646936223]