Run
1832499

Run 1832499

Task 125963 (Supervised Data Stream Classification) BNG(anneal) Uploaded 12-10-2016 by Jan van Rijn
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Flow

moa.LeveragingBag_HoeffdingTree(4)Moa implementation of LeveragingBag
moa.HoeffdingTree(7)_m33554432
moa.HoeffdingTree(7)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(7)_dNominalAttributeClassObserver
moa.HoeffdingTree(7)_e1000000
moa.HoeffdingTree(7)_g200
moa.HoeffdingTree(7)_sInfoGainSplitCriterion
moa.HoeffdingTree(7)_c1.0E-7
moa.HoeffdingTree(7)_t0.05
moa.HoeffdingTree(7)_bfalse
moa.HoeffdingTree(7)_zfalse
moa.HoeffdingTree(7)_rfalse
moa.HoeffdingTree(7)_pfalse
moa.HoeffdingTree(7)_lNBAdaptive
moa.HoeffdingTree(7)_q0
moa.LeveragingBag_HoeffdingTree(4)_lmoa.classifiers.trees.HoeffdingTree
moa.LeveragingBag_HoeffdingTree(4)_s128
moa.LeveragingBag_HoeffdingTree(4)_w6.0
moa.LeveragingBag_HoeffdingTree(4)_a0.002
moa.LeveragingBag_HoeffdingTree(4)_ofalse
moa.LeveragingBag_HoeffdingTree(4)_mLeveragingBag

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
0.9933
Per class
Confusion matrix
F measure
0.9584
Per class
Kappa
0.8976
KB relative information score
947718.0418
Mean absolute error
0.0199
Mean prior absolute error
0.2778
Number of instances
1000000
Per class
Precision
0.9581
Per class
Predictive accuracy
0.9592
Prior entropy
2.585
Recall
0.9592
Per class
Relative absolute error
0.0718
Root mean prior squared error
0.3727
Root mean squared error
0.1005
Root relative squared error
0.2697