Run
3781

Run 3781

Task 2184 (Supervised Data Stream Classification) mfeat-karhunen Uploaded 30-04-2014 by Jan van Rijn
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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
0.9923
Per class
Confusion matrix
F measure
0.944
Per class
Kappa
0.9378
KB relative information score
1794.5912
Mean absolute error
0.0331
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.9451
Per class
Predictive accuracy
0.944
Prior entropy
3.3219
Ram hours
0
Recall
0.944
Per class
Relative absolute error
0.1839
Root mean prior squared error
0.3
Root mean squared error
0.1058
Root relative squared error
0.3528
Run CPU time
1.2485