DEVELOPMENT... OpenML
Run
23896

Run 23896

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

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I80
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.9027
Per class
F measure
0.8422
Per class
Kappa
0.6809
KB relative information score
460.1075
Mean absolute error
0.1648
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
0.8425
Per class
Predictive accuracy
0.842
Prior entropy
0.9913
Recall
0.842
Per class
Relative absolute error
0.3337
Root mean prior squared error
0.497
Root mean squared error
0.3808
Root relative squared error
0.7663
SciMark benchmark
933.6906[546.9553368015218991.2319970823688483.449727694041910.85475360997441735.9610592070294]