I am trying to understand what the Coefficient in Predict AI provides in terms of information

I get the following result:

How can I use this information, for example, to create a ranking system and weigh the factors (the factors/nodes)?

Weight = Coefficient * 10000 if your normalization method is Rank

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insights are incredible if credible

This is the top 50 with the highest Coeff. Equal Weight.

A fairly good result, but I thought it would be better:

image

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You can try to average of equal weights and the weights implied by the parameters given by the system.

Edit: Weight = (Coefficient + Average Coefficient) * 10000

Thank you. I will post the results when I have run the simulation.

How do you handle the negative part of the "importance"?

Change the direction of the factors/nodes and use the absolute coefficients.

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