Feature selection with the combined filter
Now that you've created the zero-variance and missing values filters, put them to work to reduce the dimensionality of house_sales_df
. You'll combine the filters and then use the combined filter to remove the low-information features from house_sales_df
.
The zero_var_filter
and na_filter
objects are available for your use and the tidyverse
package has been loaded for you.
This exercise is part of the course
Dimensionality Reduction in R
Exercise instructions
- Combine the
zero_var_filter
andna_filter
intolow_info_filter
. - Apply
low_info_filter
to reduce the dimensionality ofhouse_sales_df
. - Display five rows of the reduced
house_sales_df
data set.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Combine the two filters
___ <- ___(___, ___)
# Apply the filter
house_sales_filtered_df <- ___ %>%
___(-all_of(___))
# Display five rows of the reduced data set
house_sales_filtered_df %>%
___(___)