Run
4833

Run 4833

Task 2191 (Supervised Data Stream Classification) cmc Uploaded 30-04-2014 by Joaquin Vanschoren
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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
0.5511
Per class
Confusion matrix
F measure
0.3615
Per class
Kappa
0.0487
KB relative information score
101.8501
Mean absolute error
0.426
Mean prior absolute error
0.4444
Number of instances
1473
Per class
Precision
0.4096
Per class
Predictive accuracy
0.4325
Prior entropy
1.585
Recall
0.4325
Per class
Relative absolute error
0.9586
Root mean prior squared error
0.4714
Root mean squared error
0.4765
Root relative squared error
1.0108
Run CPU time
0.55