get_tail_items_func.py

# Set the minimum number of trials as a threshold number to accept an input feature as a selected feature
def get_tail_items(pmf, significance_level=0.05):
   # Set total to zero
   total = 0
   # Create a loop based on the probability mass function
   for i, x in enumerate(pmf):
       # Increment the total variable with the probability “x” of i
       total += x
       # If total is higher than the significance level
       if total >= significance_level:
           # Break the code
           break
   # Return i
   return i