Run
24546

Run 24546

Task 2067 (Supervised Classification) solar-flare Uploaded 11-07-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(1)_I160
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

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
0.6578
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9614
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.016
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-95.4436
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0347
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
0.9569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1666
Cross-validation details (10-fold Crossvalidation)
Recall
0.9659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7684
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1456
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1822
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2511
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.5579[343.62501311934153897.9286468429407242.70838061665998525.5493272064665967.9783060774653]