.
round(metrics.mean_absolute_error(RUL, xpredictedRUL),2)) The Mean Absolute Error (MAE) is: 18.2 Our model was able to predict the RUL of every “random” time in the test set (before the endpoint) within 18.2 cycles of the real RUL (using Manhattan distances). 5.4. Feature Importance We have used 18