Run
527537

Run 527537

Task 178 (Supervised Data Stream Classification) BNG(trains) Uploaded 22-02-2016 by Jan van Rijn
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Flow

moa.LeveragingBag_HoeffdingTree(2)Moa implementation of LeveragingBag
moa.HoeffdingTree(5)_m33554432
moa.HoeffdingTree(5)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(5)_dNominalAttributeClassObserver
moa.HoeffdingTree(5)_e1000000
moa.HoeffdingTree(5)_g200
moa.HoeffdingTree(5)_sInfoGainSplitCriterion
moa.HoeffdingTree(5)_c1.0E-7
moa.HoeffdingTree(5)_t0.05
moa.HoeffdingTree(5)_bfalse
moa.HoeffdingTree(5)_zfalse
moa.HoeffdingTree(5)_rfalse
moa.HoeffdingTree(5)_pfalse
moa.HoeffdingTree(5)_lNBAdaptive
moa.HoeffdingTree(5)_q0
moa.LeveragingBag_HoeffdingTree(2)_lmoa.classifiers.trees.HoeffdingTree
moa.LeveragingBag_HoeffdingTree(2)_s64
moa.LeveragingBag_HoeffdingTree(2)_w6.0
moa.LeveragingBag_HoeffdingTree(2)_a0.002
moa.LeveragingBag_HoeffdingTree(2)_ofalse
moa.LeveragingBag_HoeffdingTree(2)_mLeveragingBag
moa.LeveragingBag_HoeffdingTree(2)_r1

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
0.9872
Per class
Confusion matrix
F measure
0.9446
Per class
Kappa
0.8891
KB relative information score
832347.8615
Mean absolute error
0.0916
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.9446
Per class
Predictive accuracy
0.9446
Prior entropy
1
Recall
0.9446
Per class
Relative absolute error
0.1833
Root mean prior squared error
0.5
Root mean squared error
0.2035
Root relative squared error
0.4071