Run
108070

Run 108070

Task 244 (Supervised Classification) mfeat-fourier Uploaded 09-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(2)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(2)_I80
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_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.

21 Evaluation measures

Area under ROC curve
0.9292
Per class
Cross-validation details (33% Holdout set)
Build CPU time
100.498
Cross-validation details (33% Holdout set)
Build memory
2474365968
Cross-validation details (33% Holdout set)
F measure
0.8258
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8063
Cross-validation details (33% Holdout set)
KB relative information score
542.589
Cross-validation details (33% Holdout set)
Mean absolute error
0.0345
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8321
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8258
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.8258
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1917
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.1833
Cross-validation details (33% Holdout set)
Root relative squared error
0.6108
Cross-validation details (33% Holdout set)
SciMark benchmark
924.372