Run
156598

Run 156598

Task 2448 (Supervised Data Stream Classification) meta_stream_intervals.arff Uploaded 11-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)Moa implementation of AccuracyWeightedEnsemble
weka.PolyKernel(1)_C250007
weka.PolyKernel(1)_E1.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(1)_W1
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_f10
moa.WEKAClassifier_SMO_PolyKernel(2)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_PolyKernel(2)_w0
moa.WEKAClassifier_SMO_PolyKernel(2)_i1000
moa.WEKAClassifier_SMO_PolyKernel(2)_f0

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.

18 Evaluation measures

Area under ROC curve
0.9303
Per class
Confusion matrix
F measure
0.8704
Per class
Kappa
0.8151
KB relative information score
12563.5199
Mean absolute error
0.1287
Mean prior absolute error
0.142
Number of instances
45164
Per class
Precision
0.8712
Per class
Predictive accuracy
0.8723
Prior entropy
3.7004
Recall
0.8723
Per class
Relative absolute error
0.9064
Root mean prior squared error
0.2665
Root mean squared error
0.2486
Root relative squared error
0.9331