DEVELOPMENT... OpenML
Run
2925

Run 2925

Task 2150 (Supervised Data Stream Classification) BNG(mfeat-zernike) Uploaded 29-04-2014 by Jason
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Flow

moa.OzaBagAdwin_HoeffdingTree(1)Moa implementation of OzaBagAdwin
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.OzaBagAdwin_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBagAdwin_HoeffdingTree(1)_r1
moa.OzaBagAdwin_HoeffdingTree(1)_s10

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
0.9538
Per class
Confusion matrix
F measure
0.7097
Per class
Kappa
0.6797
KB relative information score
728685.7623
Mean absolute error
0.0667
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.7087
Per class
Predictive accuracy
0.7117
Prior entropy
3.3219
Ram hours
0.0024
Recall
0.7117
Per class
Relative absolute error
0.3706
Root mean prior squared error
0.3
Root mean squared error
0.1989
Root relative squared error
0.663
Run CPU time
1323.73

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