Run
939

Run 939

Task 162 (Supervised Data Stream Classification) BNG(colic,nominal,1000000) Uploaded 08-04-2014 by Jan van Rijn
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Flow

moa.LeveragingBag_HoeffdingTree(1)Moa implementation of LeveragingBag
moa.HoeffdingTree(1)_bfalse
moa.HoeffdingTree(1)_c1.0E-7
moa.HoeffdingTree(1)_dNominalAttributeClassObserver
moa.HoeffdingTree(1)_e1000000
moa.HoeffdingTree(1)_g200
moa.HoeffdingTree(1)_lNBAdaptive
moa.HoeffdingTree(1)_m33554432
moa.HoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(1)_pfalse
moa.HoeffdingTree(1)_q0
moa.HoeffdingTree(1)_rfalse
moa.HoeffdingTree(1)_sInfoGainSplitCriterion
moa.HoeffdingTree(1)_t0.05
moa.HoeffdingTree(1)_zfalse
moa.LeveragingBag_HoeffdingTree(1)_a0.002
moa.LeveragingBag_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.LeveragingBag_HoeffdingTree(1)_mLeveragingBag
moa.LeveragingBag_HoeffdingTree(1)_ofalse
moa.LeveragingBag_HoeffdingTree(1)_r1
moa.LeveragingBag_HoeffdingTree(1)_s10
moa.LeveragingBag_HoeffdingTree(1)_w6.0

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.

20 Evaluation measures

Area under ROC curve
0.9579
Per class
Confusion matrix
F measure
0.9021
Per class
Kappa
0.789
KB relative information score
721187.0817
Mean absolute error
0.1506
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.9022
Per class
Predictive accuracy
0.9026
Prior entropy
1
Ram hours
0.0195
Recall
0.9026
Per class
Relative absolute error
0.3012
Root mean prior squared error
0.5
Root mean squared error
0.2704
Root relative squared error
0.5407
Run CPU time
461.12