Run
22492

Run 22492

Task 30 (Supervised Classification) page-blocks Uploaded 22-06-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.9388
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3314.8373
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9404
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9477
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1418
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7278
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.8411[556.19915593399631007.0316472325012480.6364546036713905.50597629765381739.832252158097]