DEVELOPMENT... OpenML
Run
2289

Run 2289

Task 169 (Supervised Data Stream Classification) BNG(dermatology,nominal,1000000) Uploaded 24-04-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9984
Per class
Confusion matrix
F measure
0.9746
Per class
Kappa
0.9682
KB relative information score
895416.3575
Mean absolute error
0.0502
Mean prior absolute error
0.2778
Number of instances
1000000
Per class
Precision
0.9747
Per class
Predictive accuracy
0.9746
Prior entropy
2.585
Ram hours
0.0332
Recall
0.9746
Per class
Relative absolute error
0.1809
Root mean prior squared error
0.3727
Root mean squared error
0.1148
Root relative squared error
0.308
Run CPU time
642.16