Run
1832438

Run 1832438

Task 199 (Supervised Data Stream Classification) SEA(50) Uploaded 11-10-2016 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
0.8972
Per class
Confusion matrix
F measure
0.8716
Per class
Kappa
0.7271
KB relative information score
609978.2997
Mean absolute error
0.2132
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8724
Per class
Predictive accuracy
0.8727
Prior entropy
1
Recall
0.8727
Per class
Relative absolute error
0.4265
Root mean prior squared error
0.5
Root mean squared error
0.3257
Root relative squared error
0.6514