Run
2728

Run 2728

Task 2127 (Supervised Data Stream Classification) BNG(anneal) 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
0.9038
Per class
Confusion matrix
F measure
0.9194
Per class
Kappa
0.8005
KB relative information score
372595.616
Mean absolute error
0.2247
Mean prior absolute error
0.2778
Number of instances
1000000
Per class
Precision
0.9178
Per class
Predictive accuracy
0.9223
Prior entropy
2.585
Ram hours
0
Recall
0.9223
Per class
Relative absolute error
0.8089
Root mean prior squared error
0.3727
Root mean squared error
0.3142
Root relative squared error
0.8431
Run CPU time
21.32