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Run
5241

Run 5241

Task 2188 (Supervised Data Stream Classification) mfeat-pixel Uploaded 30-04-2014 by Felicia West
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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
0.9341
Per class
Confusion matrix
F measure
0.8309
Per class
Kappa
0.8467
KB relative information score
1678.1401
Mean absolute error
0.0378
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.8178
Per class
Predictive accuracy
0.862
Prior entropy
3.3219
Ram hours
0
Recall
0.862
Per class
Relative absolute error
0.2099
Root mean prior squared error
0.3
Root mean squared error
0.1646
Root relative squared error
0.5488
Run CPU time
3.14