Run
160610

Run 160610

Task 7309 (Supervised Data Stream Classification) Agrawal1 Uploaded 14-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)Moa implementation of AccuracyWeightedEnsemble
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_f10
moa.WEKAClassifier_REPTree(3)_lweka.classifiers.trees.REPTree
moa.WEKAClassifier_REPTree(3)_w0
moa.WEKAClassifier_REPTree(3)_i1000
moa.WEKAClassifier_REPTree(3)_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
0.9902
Per class
Confusion matrix
F measure
0.9481
Per class
Kappa
0.882
KB relative information score
860805.8362
Mean absolute error
0.0747
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.948
Per class
Predictive accuracy
0.9482
Prior entropy
1
Recall
0.9482
Per class
Relative absolute error
0.1494
Root mean prior squared error
0.5
Root mean squared error
0.188
Root relative squared error
0.3759