DEVELOPMENT... OpenML
Run
2016

Run 2016

Task 124 (Supervised Data Stream Classification) BNG(letter,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.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.

20 Evaluation measures

Area under ROC curve
0.6051
Per class
Confusion matrix
F measure
0.3284
Per class
Kappa
0.2463
KB relative information score
292956.0343
Mean absolute error
0.0597
Mean prior absolute error
0.074
Number of instances
1000000
Per class
Precision
0.5118
Per class
Predictive accuracy
0.2757
Prior entropy
4.7004
Ram hours
0.0009
Recall
0.2757
Per class
Relative absolute error
0.8075
Root mean prior squared error
0.1923
Root mean squared error
0.2226
Root relative squared error
1.1574
Run CPU time
341.31