DEVELOPMENT... OpenML
Run
3541

Run 3541

Task 2250 (Supervised Data Stream Classification) braziltourism Uploaded 30-04-2014 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
0.7296
Per class
Kappa
0.2246
KB relative information score
334.874
Mean absolute error
0.0521
Mean prior absolute error
0.2449
Number of instances
412
Per class
Precision
0.7257
Per class
Predictive accuracy
0.7985
Prior entropy
2.8074
Ram hours
0
Recall
0.7985
Per class
Relative absolute error
0.2128
Root mean prior squared error
0.3499
Root mean squared error
0.2033
Root relative squared error
0.581
Run CPU time
0.03

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