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Removing features with many missing values

You'll apply feature selection on the Boston Public Schools dataset which has been pre-loaded as school_df. Calculate the missing value ratio per feature and then create a mask to remove features with many missing values.

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In what range lies highest ratio of missing values for a single feature in the dataset?

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Between 0.9 and 1.0.

Between 0.8 and 0.9.

Between 0.7 and 0.8.

Between 0.6 and 0.7.

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