Run
2237

Run 2237

Task 128 (Supervised Data Stream Classification) BNG(mfeat-fourier,nominal,1000000) Uploaded 24-04-2014 by Jan van Rijn
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Flow

moa.OzaBag_HoeffdingTree(1)Moa implementation of OzaBag
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.OzaBag_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBag_HoeffdingTree(1)_r1
moa.OzaBag_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
0.9841
Per class
Confusion matrix
F measure
0.8484
Per class
Kappa
0.8331
KB relative information score
823308.4381
Mean absolute error
0.0499
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.8477
Per class
Predictive accuracy
0.8498
Prior entropy
3.3219
Ram hours
0.005
Recall
0.8498
Per class
Relative absolute error
0.2774
Root mean prior squared error
0.3
Root mean squared error
0.1492
Root relative squared error
0.4974
Run CPU time
752.48