DEVELOPMENT... OpenML
Run
164906

Run 164906

Task 184 (Supervised Data Stream Classification) BNG(vowel,nominal,1000000) Uploaded 17-02-2015 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
0.8653
Per class
Confusion matrix
F measure
0.4807
Per class
Kappa
0.4297
KB relative information score
202835.0876
Mean absolute error
0.1546
Mean prior absolute error
0.1653
Number of instances
1000000
Per class
Precision
0.4804
Per class
Predictive accuracy
0.4816
Prior entropy
3.4594
Recall
0.4816
Per class
Relative absolute error
0.9356
Root mean prior squared error
0.2875
Root mean squared error
0.2728
Root relative squared error
0.9488