Run
2394

Run 2394

Task 199 (Supervised Data Stream Classification) SEA(50) Uploaded 24-04-2014 by Jan van Rijn
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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
0.8009
Per class
Confusion matrix
F measure
0.826
Per class
Kappa
0.628
KB relative information score
662848
Mean absolute error
0.1686
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8356
Per class
Predictive accuracy
0.8313
Prior entropy
1
Ram hours
0
Recall
0.8313
Per class
Relative absolute error
0.3372
Root mean prior squared error
0.5
Root mean squared error
0.4103
Root relative squared error
0.8206
Run CPU time
4.62