Use sklearn’s Mean Squared Error and Mean Absolute Error.
Compare square root of the MSE with the std of the data set
A time series is said to be stationary if it does not exhibit trends or seasonality.
A nonstationary time series can be made stationary, by using differencing:
from statsmodels.tsa.statespace.tools import diff
We plot the differenced and check if it is stationary