Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to interpret / understand the results, shown in WINE plot(br) example. #23

Open
sfd99 opened this issue Sep 13, 2018 · 0 comments
Open

Comments

@sfd99
Copy link

sfd99 commented Sep 13, 2018

Hi Biecek,

breakDown R Pkg is great
and easy to use.

I followed your Wine quality example lm() model
in:
https://pbiecek.github.io/breakDown/

But my question is
on how to interpret / understand the results,
shown in plot(br) of the WINE example.

Q1) If the var "residual.sugar" is = 1.2 (highest positive value of all vars),
does it mean, it is the most significant var
contributing?.

Q2) Why do some vars have positive values,
(ie: var "residual.sugar" is = 1.2)
and other vars in the plot show negative values?.

Q3) What is the meaning of the plot bar colors?.
Some vars in the plot(br) are yellow, some are green.

and finally,
Q4) What is the meaning of "final_prognosis" = 5.6? (gray color bar).

Just trying to learn and understand what the results mean in practical terms.
Thanks for your help Biecek!

RAY
San Francisco
using latest Rstudio, R and Ubuntu Linux

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant