Predicting too many targets in Alteryx

[Inactive User]

Hello all,

I have this task where I should predict too many targets, According to my data, I think Neural Network is the best approach since my data does not have any obvious relationship and it's big.

How can I apply this in Alteryx where I can insert a multiple inputs and expect to see multiple targets.

Thank you.

[fesrimo]

Hey, Hello?

What is the business problem o thesis that you can to solve?

It{s a classification ?, how many variables do you want to see in the final output ?

Can you clarify more about which type of data is what you have?

[c-lopez]

Hi @Inactive User!

I agree with @fesrimo, we need more information to give a coherent answer to your question, but hey I will give it a shot. 
It seems from your question that you have many targets and are trying to find relationships (patterns?) in your data and a good candidate solution for you to think about is performing a cluster analysis, a specific tool that comes to mind is the K Centroids Analysis tool.

Take some time to read this tool mastery blog post  where Sydney uses this method to find patterns in the famous Iris dataset, extremely informative!

I hope this helps :)