Run
5391

Run 5391

Task 2249 (Supervised Data Stream Classification) baseball 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
0.627
Per class
Confusion matrix
F measure
0.8877
Per class
Kappa
0.2243
KB relative information score
200.0523
Mean absolute error
0.3922
Mean prior absolute error
0.4444
Number of instances
1340
Per class
Precision
0.8959
Per class
Predictive accuracy
0.9157
Prior entropy
1.585
Ram hours
0
Recall
0.9157
Per class
Relative absolute error
0.8825
Root mean prior squared error
0.4714
Root mean squared error
0.4345
Root relative squared error
0.9217
Run CPU time
0.5388