Run
1911

Run 1911

Task 162 (Supervised Data Stream Classification) BNG(colic,nominal,1000000) 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
0.8554
Per class
Confusion matrix
F measure
0.8727
Per class
Kappa
0.7246
KB relative information score
748032
Mean absolute error
0.126
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8737
Per class
Predictive accuracy
0.8742
Prior entropy
1
Ram hours
0
Recall
0.8742
Per class
Relative absolute error
0.252
Root mean prior squared error
0.5
Root mean squared error
0.3546
Root relative squared error
0.7092
Run CPU time
17.65