Run
3909

Run 3909

Task 2248 (Supervised Data Stream Classification) kropt Uploaded 30-04-2014 by Jan van Rijn
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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
0.9996
Per class
Confusion matrix
F measure
0.9912
Per class
Kappa
0.9904
KB relative information score
27672.4885
Mean absolute error
0.0032
Mean prior absolute error
0.1049
Number of instances
28056
Per class
Precision
0.9912
Per class
Predictive accuracy
0.9914
Prior entropy
4.1699
Ram hours
0
Recall
0.9914
Per class
Relative absolute error
0.0309
Root mean prior squared error
0.2291
Root mean squared error
0.0317
Root relative squared error
0.1382
Run CPU time
1.1651