Machine Learning - Percentiles
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What is a percentile?
In statistics, percentiles (Percentiles) provide a number that describes the value below which a given percentage value is less than.
For example: assume we have an array containing the ages of people living on a street.
ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
What is the 75th percentile? The answer is 43, which means that 75% of the people are 43 years old or younger.
The NumPy module has a method to find the specified percentile:
Example
Using NumPy percentile()
Method to Find Percentile:
import numpy ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31] x = numpy.percentile(ages, 75) print(x)
Example
What is the age of 90% of the population?
import numpy ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31] x = numpy.percentile(ages, 90) print(x)
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