DEVELOPMENT... OpenML
Run
177539

Run 177539

Task 7384 (Supervised Data Stream Classification) BNG(lymph,1000,5) Uploaded 23-02-2015 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

moa.OzaBoost_HoeffdingTree(1)Moa implementation of OzaBoost
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.OzaBoost_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBoost_HoeffdingTree(1)_pfalse
moa.OzaBoost_HoeffdingTree(1)_r1
moa.OzaBoost_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.

18 Evaluation measures

Area under ROC curve
0.8053
Per class
Confusion matrix
F measure
0.6951
Per class
Kappa
0.4342
KB relative information score
513046.9645
Mean absolute error
0.2352
Mean prior absolute error
0.375
Number of instances
1000000
Per class
Precision
0.6994
Per class
Predictive accuracy
0.7103
Prior entropy
2
Recall
0.7103
Per class
Relative absolute error
0.6273
Root mean prior squared error
0.433
Root mean squared error
0.3241
Root relative squared error
0.7486