Run
211164

Run 211164

Task 2133 (Supervised Data Stream Classification) BNG(mfeat-fourier) Uploaded 28-02-2015 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
0.9715
Per class
Confusion matrix
F measure
0.8056
Per class
Kappa
0.7837
KB relative information score
282733.0248
Mean absolute error
0.1615
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.8067
Per class
Predictive accuracy
0.8053
Prior entropy
3.3219
Recall
0.8053
Per class
Relative absolute error
0.8974
Root mean prior squared error
0.3
Root mean squared error
0.2747
Root relative squared error
0.9157