DEVELOPMENT... OpenML
Run
156646

Run 156646

Task 2056 (Supervised Data Stream Classification) electricity Uploaded 11-02-2015 by Jason
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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
0.724
Per class
Confusion matrix
F measure
0.6914
Per class
Kappa
0.3729
KB relative information score
17504.2422
Mean absolute error
0.3069
Mean prior absolute error
0.5
Number of instances
45312
Per class
Precision
0.6946
Per class
Predictive accuracy
0.69
Prior entropy
1
Recall
0.69
Per class
Relative absolute error
0.6137
Root mean prior squared error
0.5
Root mean squared error
0.5255
Root relative squared error
1.0509