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# Result of Auto Model

Hello all RM friends

Why in Auto Model in the last part some times we have only Accuracy? Why some times we don't have recall, precision, AUC and...?

Thank you in advance for your help

Sara

Why in Auto Model in the last part some times we have only Accuracy? Why some times we don't have recall, precision, AUC and...?

Thank you in advance for your help

Sara

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## Answers

1,195UnicornI think it is because in the first case, you have a multi-class classification problem and in the second case you have a binary classification problem (where you can calculate, in addition of the classification error and the accuracy, the AUC, sensitivity etc .)

Regards,

Lionel

110UnicornHello

Thank you for the answer but I have two datasets which they are the same. Both of them are numeric but it is really strange for the result and metrics( both of them are very normal datas). So what is the reason for that?

1,195UnicornCan you specify the type of your label in both cases ?

Regards,

Lionel

110UnicornBoth of them have Nominal labels. َAlso yesterday I up date my RM to version 9.7. In version 9.6 I didn't have this problem. Is it the problem for version 9.7? If yes so how can I change it to version 9.6? or salve the problem?

Thank you

1,195UnicornIn order we can reproduce what you observe, can you share :

- the two datasets

- and specify in both cases the label

Regards,

Lionel

110UnicornThank you very much for following the problem but unfortunately the data is not mine and I can not share it. Can I change the process in Auto Model in order to fix the problem?

1,635UnicornLindon Ventures

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