ModelOriented / EMMA

Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
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[test no. 2] Summary #82

Open okcze opened 4 years ago

okcze commented 4 years ago

test R script: script

PipeOpTaskPreproc version results:

Amelia (PipeOpTaskPreproc)

VIM_IRMI (PipeOpTaskPreproc)

missForest (PipeOpTaskPreproc)

mice (PipeOpTaskPreproc)

softImpute (PipeOpTaskPreproc)

VIM_HD (PipeOpTaskPreproc)

VIM_KNN (PipeOpTaskPreproc)

VIM_regrImp (PipeOpTaskPreproc)

missRanger (PipeOpTaskPreproc)

missMDA_MFA (PipeOpTaskPreproc)

missMDA_MCA_PCA_FMAD (PipeOpTaskPreproc)

okcze commented 4 years ago

PipeImpute version results:

[test no. 2] Amelia (PipeImpute)

[test no. 2] VIM_IRMI (PipeImpute)

[test no. 2] missForest (PipeImpute)

[test no. 2] mice (PipeImpute)

[test no. 2] softImpute (PipeImpute)

[test no. 2] VIM_HD (PipeImpute)

[test no. 2] VIM_KNN (PipeImpute)

[test no. 2] VIM_regrImp (PipeImpute)

[test no. 2] missRanger (PipeImpute)