DEVELOPMENT... OpenML
Run
20586

Run 20586

Task 55 (Supervised Classification) vote Uploaded 18-06-2014 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)_I10
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
0.9808
Per class
F measure
0.961
Per class
Kappa
0.9178
KB relative information score
395.8077
Mean absolute error
0.0423
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9611
Per class
Predictive accuracy
0.9609
Prior entropy
0.9627
Recall
0.9609
Per class
Relative absolute error
0.0892
Root mean prior squared error
0.4869
Root mean squared error
0.1972
Root relative squared error
0.405
SciMark benchmark
938.9041[560.30856197719071014.1868590421574473.84898880647887885.02366459511341761.152276377127]