Run
163026

Run 163026

Task 2131 (Supervised Data Stream Classification) BNG(autos) Uploaded 16-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)Moa implementation of AccuracyWeightedEnsemble
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT(1)_f10
moa.WEKAClassifier_LMT(1)_lweka.classifiers.trees.LMT
moa.WEKAClassifier_LMT(1)_w0
moa.WEKAClassifier_LMT(1)_i1000
moa.WEKAClassifier_LMT(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
0.8897
Per class
Confusion matrix
F measure
0.6523
Per class
Kappa
0.5561
KB relative information score
606502.5441
Mean absolute error
0.1279
Mean prior absolute error
0.2449
Number of instances
1000000
Per class
Precision
0.6523
Per class
Predictive accuracy
0.6611
Prior entropy
2.8074
Recall
0.6611
Per class
Relative absolute error
0.5221
Root mean prior squared error
0.3499
Root mean squared error
0.257
Root relative squared error
0.7344