The filter() method in Python is a built-in function that allows you to process an iterable and extract items that meet a specific condition. This is generally referred to as a filtering operation.
Functional programming paradigms include Map, Filter, and Reduce. They enable the programmer (you) to write simpler, shorter code by removing the need for complexity such as loops and branching.
First, create a filtered empty list to hold the elements from the scores list. Iterate over the elements of the scores list in the second step. Add the element to the filtered list if it is more than or equal to 70. Finally, display the filtered list on the screen.
Because you utilise the selected metric to find irrelevant attributes, this feature selection component is dubbed "filter-based." Your model is then filtered to remove any redundant columns. Columns with low feature selection scores can be left in the dataset and omitted during model construction.
Filter takes all objects in a list and runs them through a function to create a new list with all objects that return True in that function. Map takes all objects in a list and allows you to apply a function to it, whereas Filter takes all objects in a list and runs it through a function to create a new list with all objects that return True in that function.
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