Run
171978

Run 171978

Task 2132 (Supervised Data Stream Classification) BNG(lymph) 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
0.9282
Per class
Confusion matrix
F measure
0.8693
Per class
Kappa
0.7631
KB relative information score
457618.0044
Mean absolute error
0.2625
Mean prior absolute error
0.375
Number of instances
1000000
Per class
Precision
0.8696
Per class
Predictive accuracy
0.8765
Prior entropy
2
Recall
0.8765
Per class
Relative absolute error
0.7
Root mean prior squared error
0.433
Root mean squared error
0.3283
Root relative squared error
0.7582