text: from sklearn import linear_model
  
  x_values = []
  y_values = []
  
  n = 10000
  
  with open('./dataset_length_10000_add1/dataset_20.csv') as f:
      for i in range(0, n):
          x,y = f.readline().replace('\n','').split(',')
          x, y = float(x), float(y)
          x_values.append([x,y])
          y_values.append(y)
  
  # Create linear regression object
  regression = linear_model.LinearRegression()
  
  # Train the model using the training sets
  regression.fit(x_values, y_values)
  
  print("Coefficients: \n", regression.coef_)
  