DEVELOPMENT... OpenML
Run
18329

Run 18329

Task 12 (Supervised Classification) mfeat-factors Uploaded 10-06-2014 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)_I40
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
0.6503
Per class
F measure
0.3633
Per class
Kappa
0.3006
KB relative information score
683.3913
Mean absolute error
0.1259
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3605
Per class
Predictive accuracy
0.3705
Prior entropy
3.3219
Recall
0.3705
Per class
Relative absolute error
0.6994
Root mean prior squared error
0.3
Root mean squared error
0.3548
Root relative squared error
1.1827
SciMark benchmark
921.6573[565.7608405105391985.6547740150851471.35288917392205888.92502312110351696.5932172491316]