DEVELOPMENT... OpenML
Run
3340

Run 3340

Task 2204 (Supervised Data Stream Classification) segment 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
0.7884
Per class
Confusion matrix
F measure
0.6144
Per class
Kappa
0.5035
KB relative information score
451.6889
Mean absolute error
0.2227
Mean prior absolute error
0.2449
Number of instances
2310
Per class
Precision
0.804
Per class
Predictive accuracy
0.5745
Prior entropy
2.8074
Ram hours
0
Recall
0.5745
Per class
Relative absolute error
0.9092
Root mean prior squared error
0.3499
Root mean squared error
0.3244
Root relative squared error
0.927
Run CPU time
0.15