Run
1835217

Run 1835217

Task 7312 (Supervised Data Stream Classification) Stagger3 Uploaded 26-10-2016 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_HoeffdingTree(1)Moa implementation of AccuracyWeightedEnsemble
moa.HoeffdingTree(7)_m33554432
moa.HoeffdingTree(7)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(7)_dNominalAttributeClassObserver
moa.HoeffdingTree(7)_e1000
moa.HoeffdingTree(7)_g100
moa.HoeffdingTree(7)_sInfoGainSplitCriterion
moa.HoeffdingTree(7)_c0.01
moa.HoeffdingTree(7)_t0.05
moa.HoeffdingTree(7)_bfalse
moa.HoeffdingTree(7)_zfalse
moa.HoeffdingTree(7)_rfalse
moa.HoeffdingTree(7)_pfalse
moa.HoeffdingTree(7)_lNB
moa.HoeffdingTree(7)_q0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_n128.0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_r256.0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_c1000
moa.AccuracyWeightedEnsemble_HoeffdingTree(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
0.9995
Per class
Confusion matrix
F measure
0.9994
Per class
Kappa
0.9986
KB relative information score
998730
Mean absolute error
0.0006
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.9994
Per class
Predictive accuracy
0.9994
Prior entropy
1
Recall
0.9994
Per class
Relative absolute error
0.0013
Root mean prior squared error
0.5
Root mean squared error
0.0252
Root relative squared error
0.0504