Run
525124

Run 525124

Task 175 (Supervised Data Stream Classification) BNG(spambase) Uploaded 19-02-2016 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)_s16
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
0.6682
Per class
Confusion matrix
F measure
0.5973
Per class
Kappa
0.1936
KB relative information score
201349.3259
Mean absolute error
0.4066
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.7132
Per class
Predictive accuracy
0.6657
Prior entropy
1
Recall
0.6657
Per class
Relative absolute error
0.8132
Root mean prior squared error
0.5
Root mean squared error
0.4519
Root relative squared error
0.9038