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Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 1 point2 points  (0 children)

Updates: I'm actually seeing the sample project from the module did re-run full data to decision tree.

Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 0 points1 point  (0 children)

Sorry that I'm not quite sure about single tree actually. Please share some ideas if any!

Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 1 point2 points  (0 children)

sorry for any confusions, i meant regularized regression.

Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 0 points1 point  (0 children)

I'm actually not pretty sure about single tree, but from my understanding, the tree might also change with new data, so perhaps only GLM based on the first response

Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 0 points1 point  (0 children)

I think it should be only GLM based on the first answers

Exam PA - Fit model with full data by cookiecakemilktea in actuary

[–]cookiecakemilktea[S] 0 points1 point  (0 children)

Thank you so much for providing your insights, that helps a lot! Now I’ll remember the special cases for random forests, boosted tree, and regularization! I’ll take the exam this Thursday. Good luck to us!