python-pandasHow to find mean squared error

Usage example

import pandas as pd
from sklearn.metrics import mean_squared_error

df = pd.DataFrame({
  'y1': [200, 310, 404, 400, 200],
  'y2': [204, 304, 404, 405, 204]
})

mse = mean_squared_error(df['y1'], df['y2'])
print(mse)

output

18.6