Run
5345

Run 5345

Task 2247 (Supervised Data Stream Classification) abalone Uploaded 01-05-2014 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
0.6303
Per class
Confusion matrix
F measure
0.1336
Per class
Kappa
0.0906
KB relative information score
557.3042
Mean absolute error
0.0651
Mean prior absolute error
0.0666
Number of instances
4177
Per class
Precision
0.1294
Per class
Predictive accuracy
0.1798
Prior entropy
4.858
Ram hours
0
Recall
0.1798
Per class
Relative absolute error
0.9778
Root mean prior squared error
0.1825
Root mean squared error
0.1794
Root relative squared error
0.983
Run CPU time
1.1527