DEVELOPMENT... OpenML
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2261

Run 2261

Task 125 (Supervised Data Stream Classification) BNG(autos,nominal,1000000) Uploaded 24-04-2014 by Jason
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Flow

moa.OzaBoostAdwin_HoeffdingTree(1)Moa implementation of OzaBoostAdwin
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.OzaBoostAdwin_HoeffdingTree(1)_a0.002
moa.OzaBoostAdwin_HoeffdingTree(1)_efalse
moa.OzaBoostAdwin_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBoostAdwin_HoeffdingTree(1)_ofalse
moa.OzaBoostAdwin_HoeffdingTree(1)_pfalse
moa.OzaBoostAdwin_HoeffdingTree(1)_r1
moa.OzaBoostAdwin_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
0.9583
Per class
Confusion matrix
F measure
0.8009
Per class
Kappa
0.7437
KB relative information score
719407.8553
Mean absolute error
0.0999
Mean prior absolute error
0.2449
Number of instances
1000000
Per class
Precision
0.8002
Per class
Predictive accuracy
0.8022
Prior entropy
2.8074
Ram hours
0.0083
Recall
0.8022
Per class
Relative absolute error
0.408
Root mean prior squared error
0.3499
Root mean squared error
0.2062
Root relative squared error
0.5893
Run CPU time
337.24