DEVELOPMENT... OpenML
Run
158839

Run 158839

Task 2244 (Supervised Data Stream Classification) adult Uploaded 12-02-2015 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

moa.LeveragingBag_FIMTDD(1)Moa implementation of LeveragingBag
moa.FIMTDD(1)_a0.005
moa.FIMTDD(1)_bfalse
moa.FIMTDD(1)_c1.0E-7
moa.FIMTDD(1)_dNominalAttributeClassObserver
moa.FIMTDD(1)_e1000000
moa.FIMTDD(1)_f0.995
moa.FIMTDD(1)_g200
moa.FIMTDD(1)_h50
moa.FIMTDD(1)_jfalse
moa.FIMTDD(1)_lNBAdaptive
moa.FIMTDD(1)_m33554432
moa.FIMTDD(1)_nFIMTDDNumericAttributeClassObserver
moa.FIMTDD(1)_pfalse
moa.FIMTDD(1)_q0
moa.FIMTDD(1)_rfalse
moa.FIMTDD(1)_sSDRSplitCriterion
moa.FIMTDD(1)_t0.05
moa.FIMTDD(1)_u1500
moa.FIMTDD(1)_w0.01
moa.FIMTDD(1)_y150
moa.FIMTDD(1)_zfalse
moa.LeveragingBag_FIMTDD(1)_lmoa.classifiers.trees.FIMTDD
moa.LeveragingBag_FIMTDD(1)_s10
moa.LeveragingBag_FIMTDD(1)_w6.0
moa.LeveragingBag_FIMTDD(1)_a0.002
moa.LeveragingBag_FIMTDD(1)_ofalse
moa.LeveragingBag_FIMTDD(1)_mLeveragingBag
moa.LeveragingBag_FIMTDD(1)_r1

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
0.5
Per class
Confusion matrix
F measure
0.0924
Per class
KB relative information score
-25468
Mean absolute error
0.7607
Mean prior absolute error
0.5
Number of instances
48842
Per class
Precision
0.0573
Per class
Predictive accuracy
0.2393
Prior entropy
1
Recall
0.2393
Per class
Relative absolute error
1.5214
Root mean prior squared error
0.5
Root mean squared error
0.8722
Root relative squared error
1.7444