Run
3159

Run 3159

Task 2164 (Supervised Data Stream Classification) BNG(vehicle) Uploaded 30-04-2014 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
0.7658
Per class
Confusion matrix
F measure
0.5533
Per class
Kappa
0.4191
KB relative information score
311454.0745
Mean absolute error
0.3066
Mean prior absolute error
0.375
Number of instances
1000000
Per class
Precision
0.55
Per class
Predictive accuracy
0.5641
Prior entropy
2
Ram hours
0
Recall
0.5641
Per class
Relative absolute error
0.8176
Root mean prior squared error
0.433
Root mean squared error
0.3913
Root relative squared error
0.9036
Run CPU time
13.37