DEVELOPMENT... OpenML
Run
2989

Run 2989

Task 2150 (Supervised Data Stream Classification) BNG(mfeat-zernike) Uploaded 29-04-2014 by Jason
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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
0.9444
Per class
Confusion matrix
F measure
0.6781
Per class
Kappa
0.6426
KB relative information score
693249.6051
Mean absolute error
0.0717
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.6786
Per class
Predictive accuracy
0.6784
Prior entropy
3.3219
Ram hours
0.0003
Recall
0.6784
Per class
Relative absolute error
0.3982
Root mean prior squared error
0.3
Root mean squared error
0.2157
Root relative squared error
0.719
Run CPU time
1534.9545