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Run
23860

Run 23860

Task 2079 (Supervised Classification) eucalyptus Uploaded 28-06-2014 by Felicia West
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Flow

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
0.836
Per class
F measure
0.6468
Per class
Kappa
0.5518
KB relative information score
313.9975
Mean absolute error
0.2182
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6492
Per class
Predictive accuracy
0.6522
Prior entropy
2.2629
Recall
0.6522
Per class
Relative absolute error
0.6968
Root mean prior squared error
0.3957
Root mean squared error
0.3207
Root relative squared error
0.8104
SciMark benchmark
886.7473[537.5163554268041962.0344422444904458.8640441814602865.73312393442921609.5883084910972]