DEVELOPMENT... OpenML
Run
22492

Run 22492

Task 30 (Supervised Classification) page-blocks Uploaded 22-06-2014 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
0.8766
Per class
F measure
0.9388
Per class
Kappa
0.675
KB relative information score
3314.8373
Mean absolute error
0.021
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
0.9404
Per class
Predictive accuracy
0.9477
Prior entropy
0.6391
Recall
0.9477
Per class
Relative absolute error
0.2752
Root mean prior squared error
0.1949
Root mean squared error
0.1418
Root relative squared error
0.7278
SciMark benchmark
937.8411[556.19915593399631007.0316472325012480.6364546036713905.50597629765381739.832252158097]