DEVELOPMENT... OpenML
Run
158700

Run 158700

Task 128 (Supervised Data Stream Classification) BNG(mfeat-fourier,nominal,1000000) Uploaded 12-02-2015 by Jason
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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
0.0182
Per class
KB relative information score
58878.9124
Mean absolute error
0.18
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.01
Per class
Predictive accuracy
0.1001
Prior entropy
3.3219
Recall
0.1001
Per class
Relative absolute error
0.9999
Root mean prior squared error
0.3
Root mean squared error
0.4243
Root relative squared error
1.4142