Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Prediction profiler Importance rating

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

Highlighted

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Dec 8, 2017 12:20 AM
(5480 views)

Hi ,

I am wondering the importance rating in the desirability function that we actually set in the prediction profiler, if a response is more important than my other response do i put a value of 1 or i put a bigger number such 10 or 20?

Rgrds

Irfan

1 ACCEPTED SOLUTION

Accepted Solutions

Highlighted

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

I just want to add to Ian's explanation that you should not use large numbers like 10 or 20. Such a value will practically eliminate the responses with an Importance value of 1 from the optimization.

From JMP Help:

Learn it once, use it forever!

5 REPLIES 5

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Prediction profiler Importance rating

According to the online documentation:

*Importance*

*Enter a relative weighting for each of several responses in computing the overall desirability function. The Importance value can be any positive number. When no Importance value is specified, JMP treats all responses in a given analysis as having equal Importance values. If there is only one response, it receives Importance 1.*

So you need to decide the relative weighting of the responses you have.

Highlighted

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

I just want to add to Ian's explanation that you should not use large numbers like 10 or 20. Such a value will practically eliminate the responses with an Importance value of 1 from the optimization.

From JMP Help:

Learn it once, use it forever!

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Prediction profiler Importance rating

HI mark,

Does it mean i can't use 1,2,3 but instead i have to put a value of 0.5,0.2,0.3 according to the importance of each parameters?Do you have an example to share with me

Rgrds

Irfan

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Prediction profiler Importance rating

You can use what ever values you like so long as you set all of them using the same scale.

If you use 1, 2, 3 then the one with a 2 will be twice as important as the 1 and the 3 is three times as important, likewise 10, 20, 30.

But if you only set one of them and use a 10 then the others will still be at their default value of 1 and you will set that one to be 10 times as important as the others.

-Jeff

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Prediction profiler Importance rating

Thanks

Article Labels

There are no labels assigned to this post.