python import pandas as pd from statsmodels.tsa.arima.model import ARIMA from sklearn.metrics import mean_squared_error data = pd.read_csv('data.csv') model = ARIMA(data['value'], order=(1, 1, 1)) model_fit = model.fit() future_predictions = model_fit.predict(start=len(data['value']), end=len(data['value'])+10) mse = mean_squared_error(actual_values, future_predictions)