DEVELOPMENT... OpenML
Run
3495

Run 3495

Task 2246 (Supervised Data Stream Classification) satimage Uploaded 30-04-2014 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
0.9251
Per class
Confusion matrix
F measure
0.7969
Per class
Kappa
0.7446
KB relative information score
4953.1675
Mean absolute error
0.0741
Mean prior absolute error
0.2778
Number of instances
6430
Per class
Precision
0.8092
Per class
Predictive accuracy
0.7916
Prior entropy
2.585
Ram hours
0
Recall
0.7916
Per class
Relative absolute error
0.2668
Root mean prior squared error
0.3727
Root mean squared error
0.2453
Root relative squared error
0.6583
Run CPU time
6.24