Run
24916

Run 24916

Task 2067 (Supervised Classification) solar-flare Uploaded 19-07-2014 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)_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
0.5997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0097
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.2997
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0275
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0452
Cross-validation details (10-fold Crossvalidation)
Number of instances
323
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
0.957
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9721
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1666
Cross-validation details (10-fold Crossvalidation)
Recall
0.9721
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1456
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1643
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.128
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.589[568.34168678655021013.1203667026068484.54051677983614910.22218605324211761.7204843045454]