Run
21901

Run 21901

Task 4 (Supervised Classification) labor Uploaded 20-06-2014 by Joaquin Vanschoren
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weka.AdaBoostM1_SMO_PolyKernel(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_SMO_PolyKernel(1)_I80
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.8932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8958
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7741
Cross-validation details (10-fold Crossvalidation)
KB relative information score
43.1626
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.8991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8947
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8947
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6798
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.0389[551.8002634079949999.1988959772265475.52784454289576899.91071193929471733.7565612664832]