Run
22713

Run 22713

Task 2068 (Supervised Classification) solar-flare Uploaded 22-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.4967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9911
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-329.437
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0056
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9916
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7563
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.075
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3439
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.7565[552.49939948384381014.7208839634673481.0671011934597903.94479785969181751.5501218345944]