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Run
156688

Run 156688

Task 2164 (Supervised Data Stream Classification) BNG(vehicle) Uploaded 11-02-2015 by Jason
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)Moa implementation of AccuracyWeightedEnsemble
weka.PolyKernel(1)_C250007
weka.PolyKernel(1)_E1.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(1)_W1
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_f10
moa.WEKAClassifier_SMO_PolyKernel(2)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_PolyKernel(2)_w0
moa.WEKAClassifier_SMO_PolyKernel(2)_i1000
moa.WEKAClassifier_SMO_PolyKernel(2)_f0

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.

18 Evaluation measures

Area under ROC curve
0.8095
Per class
Confusion matrix
F measure
0.581
Per class
Kappa
0.4554
KB relative information score
316065.1369
Mean absolute error
0.3042
Mean prior absolute error
0.375
Number of instances
1000000
Per class
Precision
0.5789
Per class
Predictive accuracy
0.5913
Prior entropy
2
Recall
0.5913
Per class
Relative absolute error
0.8111
Root mean prior squared error
0.433
Root mean squared error
0.382
Root relative squared error
0.8822