DEVELOPMENT... OpenML
Run
15777

Run 15777

Task 58 (Supervised Classification) waveform-5000 Uploaded 04-06-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I40
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
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
0.9605
Per class
F measure
0.8668
Per class
Kappa
0.8005
KB relative information score
2743.0903
Mean absolute error
0.2533
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8673
Per class
Predictive accuracy
0.867
Prior entropy
1.5849
Recall
0.867
Per class
Relative absolute error
0.5701
Root mean prior squared error
0.4714
Root mean squared error
0.3192
Root relative squared error
0.6772
SciMark benchmark
945.3815[563.74942385882411014.1868590421574483.0147548568529907.0727062654921758.8835103978397]