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XGBoost with Python and Scikit-Learn
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@kmlknta21
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-Nice. It is helpful to run in Jupyter Notebook. Thank you

@malambomutila
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From the Feature Importance graph, Delicassen has the highest F score. Doesn't this mean that Delicassen was the most important feature as opposed to Grocery which was fourth best?

@ajitbalakrishnan
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No answer to malambomutila comment?

@Jason2Brownlee
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Excellent case study!

I was only able to get an accuracy of about 93% with xgboost.

@p-dot-max
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Thanks a lot

@peet-droid
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I like how you described each parameter meaning I had no idea you could use Drop out using D.A.R.T

@icebeartellsnolies
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From the Feature Importance graph, Delicassen has the highest F score. Doesn't this mean that Delicassen was the most important feature as opposed to Grocery which was fourth best?

yes u are right @malambomutila

@snailcoder
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nice work

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