Dear Friends,
I want to know how to get the confusion matrix in SAS Enterprise Miner 6.2,
Thanks
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
Data Role=TRAIN Target=BAD
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.
Was this a good answer?
Good luck!
-Miguel
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
Data Role=TRAIN Target=BAD
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.
Was this a good answer?
Good luck!
-Miguel
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