DEVELOPMENT... OpenML
Run
5225

Run 5225

Task 2213 (Supervised Data Stream Classification) splice Uploaded 30-04-2014 by Felicia West
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Flow

moa.WEKAClassifier_SMO_PolyKernel(1)Moa implementation of WEKAClassifier
moa.WEKAClassifier_SMO_PolyKernel(1)_f0
moa.WEKAClassifier_SMO_PolyKernel(1)_i1000
moa.WEKAClassifier_SMO_PolyKernel(1)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_PolyKernel(1)_w0
weka.PolyKernel(2)_C250007
weka.PolyKernel(2)_E1.0
weka.SMO_PolyKernel(2)_C1.0
weka.SMO_PolyKernel(2)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(2)_L0.001
weka.SMO_PolyKernel(2)_N0
weka.SMO_PolyKernel(2)_P1.0E-12
weka.SMO_PolyKernel(2)_V-1
weka.SMO_PolyKernel(2)_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.

20 Evaluation measures

Area under ROC curve
0.3947
Per class
Confusion matrix
F measure
0.2548
Per class
Kappa
0.2033
KB relative information score
-299.7627
Mean absolute error
0.5254
Mean prior absolute error
0.4444
Number of instances
3190
Per class
Precision
0.1928
Per class
Predictive accuracy
0.395
Prior entropy
1.585
Ram hours
0
Recall
0.395
Per class
Relative absolute error
1.1821
Root mean prior squared error
0.4714
Root mean squared error
0.595
Root relative squared error
1.2622
Run CPU time
2.62