Run
2558

Run 2558

Task 192 (Supervised Data Stream Classification) LED(50000) 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
0.7359
Per class
Confusion matrix
F measure
0.3715
Per class
Kappa
0.2982
KB relative information score
175627.0863
Mean absolute error
0.1704
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.3842
Per class
Predictive accuracy
0.3684
Prior entropy
3.3219
Ram hours
0
Recall
0.3684
Per class
Relative absolute error
0.9469
Root mean prior squared error
0.3
Root mean squared error
0.2902
Root relative squared error
0.9675
Run CPU time
23.5