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Gradient Boosted Trees does not report attribute weights correctly

yzanyzan Member Posts: 62   Unicorn

In the attached example, the attribute weights port outputs:

J.TIPO_DE_ESFERASTER 6.545000076293945
P.PERFORANTE 5.506167411804199
F.TIPO_DE_EXOSTILO 3.6711277961730957
C.TIPO_ESPICULA_PRINCIPAL_ESTRONGILOXA 1.0875003337860107
Name 1.0
C.TIPO_ESPICULA_PRINCIPAL_ESTILO_TILOSTILO 0.6074188947677612

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But the model output shows:

                                  Variable Relative Importance Scaled Importance Percentage
J.TIPO_DE_ESFERASTER 6.545000 1.000000 0.370537
P.PERFORANTE 5.506167 0.841278 0.311725
F.TIPO_DE_EXOSTILO 3.671128 0.560906 0.207836
C.TIPO_ESPICULA_PRINCIPAL_ESTRONGILOXA 1.087500 0.166157 0.061568
C.TIPO_ESPICULA_PRINCIPAL_ESTILO_TILOSTILO 0.607419 0.092807 0.034388

Β Note that "Name" attribute is once (falsely) listed among important attributes and once not.

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No activity or votes since Sep 2018. Please comment and cc sgenzer if this should be reopened. HHO-111

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  • sgenzersgenzer 12Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,955  Community Manager
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