rank importance of inputs

Today, I used other ways to rank importance of inputs.

Summary:

Feature selection is one method to decrease dimension of inputs while keeping as many information of inputs as possible. It select a subset of input for model construction. As a result, it is not for ranking importance of inputs.

I found another algorithm for ranking importance, which is called ReliefF.
The following is the result:

The ranking is different from what is calculated by deleting inputs one by one. As searched online, most people analyze importance by deleting inputs one by one. So I think that the original method is more trustworthy than the ReliefF algorithm.

Tomorrow, we can discuss about the result and I plan to go on the next task, which is find clustering method for sonic log prediction model.