DEVELOPMENT... OpenML
Run
4541

Run 4541

Task 2179 (Supervised Data Stream Classification) balance-scale Uploaded 30-04-2014 by Felicia West
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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
0.8858
Per class
Confusion matrix
F measure
0.7816
Per class
Kappa
0.6467
KB relative information score
355.9228
Mean absolute error
0.2286
Mean prior absolute error
0.4444
Number of instances
625
Per class
Precision
0.7773
Per class
Predictive accuracy
0.808
Prior entropy
1.585
Recall
0.808
Per class
Relative absolute error
0.5143
Root mean prior squared error
0.4714
Root mean squared error
0.332
Root relative squared error
0.7043
Run CPU time
0.08