Hi you said that there is Rule of thumb : if you removing less than 5% from observation ,feel free to remove all missing value I calculate the percentage of the missing values using the formula data.isnull().sum()/len(data)*100 and I got 3.9% for price and 3.4% for EngineV and I added them 3.4+3.9 =7.3% >5% so why did we delete the missing values when their percentage is more than 5% of the observation?

Hey Areej, Thank you for reaching out! Please, refer to the following thread where this issue is discussed at length: https://365datascience.com/q/1ef9d2261f Kind regards, 365 Hristina

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Areej

Last answered:

16 Nov 2022

Posted on:

16 Nov 2022

how can we calculate the percentage of the missing values to determine if it less than 5%

in Machine Learning in Python / Linear Regression Practical Example (Part 1)

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Hristina Hristova

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Posted on:

16 Nov 2022

Areej

Posted on:

16 Nov 2022

how can we calculate the percentage of the missing values to determine if it less than 5%

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