FAQ: Logistic Regression - Feature Importance

This community-built FAQ covers the “Feature Importance” exercise from the lesson “Logistic Regression”.

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This exercise can be found in the following Codecademy content:

Machine Learning

FAQs on the exercise Feature Importance

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I’m on part 10 of the Logistic Regression chapter. I was wondering why in the last step the x value for the bar graph is [1,2]. I don’t understand where this value is coming from. An explanation would be helpful

Hello, I m just doing this exercise and have the same question. I m new to Codeacademy so I might not be looking at the right place but I don’t see any answer to this topic so any help would be appreciated
Thank you

The 1 and 2 comes because there are two features. Then they replaced the numbers with the features names.

why coef_[0]?? thanks you for replying!!!

1 Like

To make it easier to read and more uniform with intercept style of showing. You can still write coef_ without picking its first index.