DEVELOPMENT... OpenML
Run
3321

Run 3321

Task 2194 (Supervised Data Stream Classification) nursery Uploaded 30-04-2014 by Jason
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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
0.6807
Per class
Confusion matrix
F measure
0.497
Per class
Kappa
0.4012
KB relative information score
2731.0772
Mean absolute error
0.2981
Mean prior absolute error
0.32
Number of instances
12960
Per class
Precision
0.4375
Per class
Predictive accuracy
0.588
Prior entropy
2.3219
Ram hours
0
Recall
0.588
Per class
Relative absolute error
0.9316
Root mean prior squared error
0.4
Root mean squared error
0.3957
Root relative squared error
0.9892
Run CPU time
0.31