# Demo of correlation coefficient is not the same as ==.
from random import randint ; from scipy.stats import pearsonr
from sklearn.metrics import mean_squared_error, mean_absolute_error
from math import sqrt

noise = [randint(-100,100) for i in range(0,1000)]
amplified = [value*100 for value in noise]
print("a few samples",noise[0:2], amplified[0:2], len(noise), len(amplified))
pear = pearsonr(noise,amplified)
mae = mean_absolute_error(noise, amplified)
mse = mean_squared_error(noise, amplified)
print ('CC=',pear,'MAE=',mae,'RMSE=',sqrt(mse))