Model GARCH di Python
Chelsea Yang
Data Science Instructor
Cara menilai kemampuan peramalan model
Bandingkan prediksi model dengan data historis aktual
In-sample: pemodelan/penyesuaian
Out-of-sample: uji balik
Mean Absolute Error

Mean Squared Error

from sklearn.metrics import mean_absolute_error, mean_squared_error
# Call function to calculate MAE
mae = mean_absolute_error(observation, forecast)
# Call function to calculate MSE
mse = mean_squared_error(observation, forecast)
Model GARCH di Python