Run
2542

Run 2542

Task 123 (Supervised Data Stream Classification) BNG(labor,nominal,1000000) Uploaded 25-04-2014 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
0.9305
Per class
Confusion matrix
F measure
0.9372
Per class
Kappa
0.8625
KB relative information score
874790
Mean absolute error
0.0626
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.9371
Per class
Predictive accuracy
0.9372
Prior entropy
1
Ram hours
0
Recall
0.9372
Per class
Relative absolute error
0.1252
Root mean prior squared error
0.5
Root mean squared error
0.2497
Root relative squared error
0.4994
Run CPU time
10.31