turn on suggestions

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

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Data Mining
- /
- Narrowing Inputs - Prediction Model w/ Poisson dis...

Topic Options

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

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 04:28 PM - edited 12-09-2015 04:30 PM

Hi,

I'm new to use Enterprise Miner, and Predictive Modeling in general, but have a stats background. I have a dataset with about 100 inputs and a target variable with a discrete Poisson distribution. I'd like to know:

1) Can I use a decision tree model in EM to help me narrow down inputs for a Poisson Model?

2) Can EM model a Poisson distribution, without using the "Rate Making" node (I don't have this node)?

Please let me know what additional information you need to help me answer my questions.

Thank you!

Accepted Solutions

Solution

12-09-2015
07:08 PM

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 06:41 PM

All Replies

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 04:34 PM

Hi,

What version of Enterprise Miner do you have?

What are you trying to model? Just asking to confirm your discrete target is nominal.

Thanks!

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 05:42 PM

Thank you Miguel. I'm using EM 13.1.

My discrete target is ordinal, with a minimum of 1.

My discrete target is ordinal, with a minimum of 1.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 04:37 PM

Hi there...

1) Yes, decision trees make no assumptions about the distribution of your target and are very robust, so you can certainly use that for variable selection

2) That depends... what version of Enterprise Miner do you have?

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 05:43 PM

Thank you Wendy for your reply. I'm using EM 13.1

Solution

12-09-2015
07:08 PM

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 06:41 PM

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

12-09-2015 07:07 PM

Great...thank you Wendy!