Run
179216

Run 179216

Task 7281 (Supervised Data Stream Classification) BNG(Australian) Uploaded 24-02-2015 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
0.8473
Per class
Confusion matrix
F measure
0.8388
Per class
Kappa
0.6772
KB relative information score
675986
Mean absolute error
0.162
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.852
Per class
Predictive accuracy
0.838
Prior entropy
1
Recall
0.838
Per class
Relative absolute error
0.324
Root mean prior squared error
0.5
Root mean squared error
0.4025
Root relative squared error
0.805