Run
223355

Run 223355

Task 2152 (Supervised Data Stream Classification) BNG(colic.ORIG) Uploaded 01-03-2015 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
0.7421
Per class
Confusion matrix
F measure
0.7381
Per class
Kappa
0.3986
KB relative information score
522048.2598
Mean absolute error
0.2388
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.7601
Per class
Predictive accuracy
0.7601
Prior entropy
1
Recall
0.7601
Per class
Relative absolute error
0.4777
Root mean prior squared error
0.5
Root mean squared error
0.4773
Root relative squared error
0.9546