Run
2817

Run 2817

Task 2131 (Supervised Data Stream Classification) BNG(autos) Uploaded 28-04-2014 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
0.8123
Per class
Confusion matrix
F measure
0.5794
Per class
Kappa
0.4553
KB relative information score
278431.24
Mean absolute error
0.2145
Mean prior absolute error
0.2449
Number of instances
1000000
Per class
Precision
0.5802
Per class
Predictive accuracy
0.5829
Prior entropy
2.8074
Ram hours
0
Recall
0.5829
Per class
Relative absolute error
0.876
Root mean prior squared error
0.3499
Root mean squared error
0.3176
Root relative squared error
0.9076
Run CPU time
14.8073