Run
168599

Run 168599

Task 186 (Supervised Data Stream Classification) BNG(waveform-5000,nominal,1000000) Uploaded 20-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)Moa implementation of AccuracyWeightedEnsemble
weka.RBFKernel(1)_C250007
weka.RBFKernel(1)_G0.01
weka.SMO_RBFKernel(1)_C1.0
weka.SMO_RBFKernel(1)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(1)_L0.001
weka.SMO_RBFKernel(1)_N0
weka.SMO_RBFKernel(1)_P1.0E-12
weka.SMO_RBFKernel(1)_V-1
weka.SMO_RBFKernel(1)_W1
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel(1)_f10
moa.WEKAClassifier_SMO_RBFKernel(1)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_RBFKernel(1)_w0
moa.WEKAClassifier_SMO_RBFKernel(1)_i1000
moa.WEKAClassifier_SMO_RBFKernel(1)_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
0.9387
Per class
Confusion matrix
F measure
0.8267
Per class
Kappa
0.742
KB relative information score
515582.0929
Mean absolute error
0.2671
Mean prior absolute error
0.4444
Number of instances
1000000
Per class
Precision
0.8281
Per class
Predictive accuracy
0.8279
Prior entropy
1.585
Recall
0.8279
Per class
Relative absolute error
0.601
Root mean prior squared error
0.4714
Root mean squared error
0.3328
Root relative squared error
0.7059