DEVELOPMENT... OpenML
Run
1405

Run 1405

Task 124 (Supervised Data Stream Classification) BNG(letter,nominal,1000000) Uploaded 23-04-2014 by Jason
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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
0.875
Per class
Confusion matrix
F measure
0.4451
Per class
Kappa
0.4268
KB relative information score
167176.9945
Mean absolute error
0.0718
Mean prior absolute error
0.074
Number of instances
1000000
Per class
Precision
0.4603
Per class
Predictive accuracy
0.4488
Prior entropy
4.7004
Ram hours
0
Recall
0.4488
Per class
Relative absolute error
0.9706
Root mean prior squared error
0.1923
Root mean squared error
0.1877
Root relative squared error
0.9762
Run CPU time
128.39