Run
2923

Run 2923

Task 2150 (Supervised Data Stream Classification) BNG(mfeat-zernike) Uploaded 29-04-2014 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
0.9443
Per class
Confusion matrix
F measure
0.7242
Per class
Kappa
0.6975
KB relative information score
274507.6567
Mean absolute error
0.1621
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.723
Per class
Predictive accuracy
0.7277
Prior entropy
3.3219
Ram hours
0
Recall
0.7277
Per class
Relative absolute error
0.9008
Root mean prior squared error
0.3
Root mean squared error
0.2758
Root relative squared error
0.9193
Run CPU time
39.3