DEVELOPMENT... OpenML
Run
158720

Run 158720

Task 174 (Supervised Data Stream Classification) BNG(soybean) 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
0.0017
Per class
KB relative information score
11799.3735
Mean absolute error
0.1021
Mean prior absolute error
0.0997
Number of instances
1000000
Per class
Precision
0.0009
Per class
Predictive accuracy
0.0296
Prior entropy
4.2479
Recall
0.0296
Per class
Relative absolute error
1.0243
Root mean prior squared error
0.2233
Root mean squared error
0.3196
Root relative squared error
1.4313