**4. Results**

Once the methodology used to develop the machine learning model has been explained, the model is tested in a real application case. For its testing, it has been decided to choose the data of the LECMPAU sector in the year 2019. Specifically, the machine learning models have been trained with the matrix developed for 2019. In this matrix, there are 144 columns and 365 rows. With this, 52,560 data have been obtained to train and test the model. Specifically, 80%, 42,048 data, have been used to train the model. The rest has been used for model testing.

The operational data have been obtained based on ENAIRE radar traces and have been provided to the authors after processing and validation by the company CRIDA. The company CRIDA has also provided the data to the authors with the necessary regulatory data, after proper processing and validation.
