Run
1832739

Run 1832739

Task 2157 (Supervised Data Stream Classification) BNG(pendigits) Uploaded 15-10-2016 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)_s32
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
0.9913
Per class
Confusion matrix
F measure
0.8859
Per class
Kappa
0.8733
KB relative information score
862784.8549
Mean absolute error
0.0384
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.8862
Per class
Predictive accuracy
0.886
Prior entropy
3.3219
Recall
0.886
Per class
Relative absolute error
0.2133
Root mean prior squared error
0.3
Root mean squared error
0.1289
Root relative squared error
0.4297