Run
160657

Run 160657

Task 192 (Supervised Data Stream Classification) LED(50000) Uploaded 14-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)Moa implementation of AccuracyWeightedEnsemble
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
moa.WEKAClassifier_JRip(1)_lweka.classifiers.rules.JRip
moa.WEKAClassifier_JRip(1)_w0
moa.WEKAClassifier_JRip(1)_i1000
moa.WEKAClassifier_JRip(1)_f0
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1)_f10

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
0.9463
Per class
Confusion matrix
F measure
0.7356
Per class
Kappa
0.7052
KB relative information score
672481.4136
Mean absolute error
0.0841
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.7371
Per class
Predictive accuracy
0.7347
Prior entropy
3.3219
Recall
0.7347
Per class
Relative absolute error
0.467
Root mean prior squared error
0.3
Root mean squared error
0.2002
Root relative squared error
0.6672