Run
527610

Run 527610

Task 200 (Supervised Data Stream Classification) SEA(50000) Uploaded 23-02-2016 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)_s128
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
0.8892
Per class
Confusion matrix
F measure
0.8852
Per class
Kappa
0.7559
KB relative information score
639297.0928
Mean absolute error
0.1997
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8864
Per class
Predictive accuracy
0.8863
Prior entropy
1
Recall
0.8863
Per class
Relative absolute error
0.3994
Root mean prior squared error
0.5
Root mean squared error
0.315
Root relative squared error
0.63