ML – Mean, Median and Mode

In Machine Learning (and in mathematics) there are often three values that interests us:

Mean – The average value

Median – The mid point value

Mode – The most common value

Example: We have registered the speed of 13 cars:

#Calculating the Mean of the cars speed
import numpy    # pip install numpy from cmd prompt to install numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = numpy.mean(speed)
print(x)
89.76923076923077

#Calculating the Median of the cars speed

import numpy
​speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
​x = numpy.median(speed)
print(x)
87.0

#Calculating the Mode of the cars speed

from scipy import stats   #pip install scipy from cmd prompt
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = stats.mode(speed)
print(x)
ModeResult(mode=array([86]), count=array([3]))

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