DEVELOPMENT... OpenML
Run
19620

Run 19620

Task 30 (Supervised Classification) page-blocks Uploaded 16-06-2014 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)_I10
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
0.9186
Per class
F measure
0.9353
Per class
Kappa
0.6563
KB relative information score
3278.0381
Mean absolute error
0.0226
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9362
Per class
Predictive accuracy
0.9435
Prior entropy
0.6391
Recall
0.9435
Per class
Relative absolute error
0.297
Root mean prior squared error
0.1949
Root mean squared error
0.1431
Root relative squared error
0.7342
SciMark benchmark
937.9722[552.49944120894011013.1204302006943481.28276544297296906.44537908266061736.5129941032399]