i get this error when i run this line of code reg_summary = pd.DataFrame([['p_values'],['intercept'],['coefficient']],columns =['features']) reg_summary['weights']=p_values.round(3),reg.intercept_ reg_summary['size']=reg.coef_[0] reg_summary['year']=reg.coef_[1]

Hey, In the following line reg_summary = pd.DataFrame([['p_values'],['intercept'],['coefficient']],columns =['features']) you define a feature column with 3 features. However, with this line of code reg_summary['weights']=p_values.round(3),reg.intercept_ you give weights to only 2 of them. This is what causes the error. I would suggest the following modification: Hope this helps! Kind regards, 365 Hristina

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ABDULGAFAR SALIUOKULU

Last answered:

04 Mar 2022

Posted on:

02 Mar 2022

Resolved: ValueError: Length of values (2) does not match length of index (3)

in Machine Learning in Python / Making predictions with standardized coefficients

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Hristina Hristova

Posted on:

04 Mar 2022

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Resolved: ValueError: Length of values (2) does not match length of index (3)

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