Solved
Contributor
Posts: 43

# Confusion matrix in Enterprise Miner

Dear Friends,

I want to know how to get the confusion matrix in SAS Enterprise Miner 6.2,

Thanks

Accepted Solutions
Solution
‎09-17-2014 10:23 AM
Super Contributor
Posts: 337

## Re: Confusion matrix in Enterprise Miner

Hi,

In a bunch of places

Here 3 that I can think top of my mind.

1. Results Output

On the results of a model node, go to the output and punch the keys Ctrl+F to find "Event Classification Table".

You will see one like the below:

Event Classification Table

False       True            False       True

Negative    Negative    Positive    Positive

364        4518         253         825

2. Classification chart

If you are a visual person, see this in a chart! After you run a model node, go to results, then browse to View->Assessment->Classification chart. This gives you a stacked bar chart of correct vs incorrect predicted target. To see it in a table format, click on the table icon (2nd icon right to left). You will have all the info you need (target, outcome, target percentage, total percentage, etc).

3. Model comparison node

When your diagram has a categorical target variable, the model comparison will use misclassification as the default selection statistic. You will find the Event Classificaiton Table of all models connected to that model comparison node.

Good luck!

-Miguel

All Replies
Solution
‎09-17-2014 10:23 AM
Super Contributor
Posts: 337

## Re: Confusion matrix in Enterprise Miner

Hi,

In a bunch of places

Here 3 that I can think top of my mind.

1. Results Output

On the results of a model node, go to the output and punch the keys Ctrl+F to find "Event Classification Table".

You will see one like the below:

Event Classification Table

False       True            False       True

Negative    Negative    Positive    Positive

364        4518         253         825

2. Classification chart

If you are a visual person, see this in a chart! After you run a model node, go to results, then browse to View->Assessment->Classification chart. This gives you a stacked bar chart of correct vs incorrect predicted target. To see it in a table format, click on the table icon (2nd icon right to left). You will have all the info you need (target, outcome, target percentage, total percentage, etc).

3. Model comparison node

When your diagram has a categorical target variable, the model comparison will use misclassification as the default selection statistic. You will find the Event Classificaiton Table of all models connected to that model comparison node.

Good luck!

-Miguel

🔒 This topic is solved and locked.