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JingweiToo / Wrapper-Feature-Selection-Toolbox-Python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
BSD 3-Clause "New" or "Revised" License
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alpha value in fitness #16

Open mpriyadh opened 2 years ago

mpriyadh commented 2 years ago

hi can you please tell me why alpha value in fitness function is chosen as 0.99 in specific?

JingweiToo commented 2 years ago

Hi,

This value is set at 0.99 because we are mostly focused on minimizing the error. You may refer to articles for more information.

On Wed, Jan 5, 2022 at 7:37 PM mpriyadh @.***> wrote:

hi can you please tell me why alpha value in fitness function is chosen as 0.99 in specific?

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Sualihah commented 2 years ago

Taking example of Firefly algo...how have you connected the ionosphere dataset with the code to find best features? Also how do you choose your ub and lb values using a dataset

JingweiToo commented 2 years ago

Hi,

You may find those answers from the web of science articles.

On Sun, Jan 23, 2022 at 9:57 PM Sualihah @.***> wrote:

Taking example of Firefly algo...how have you connected the ionosphere dataset with the code to find best features? Also how do you choose your ub and lb values using a dataset

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