*3.2. Date Input*

The format of the model output has been determined, and consequently what type of machine learning model will be used. The next step is to determine the input variables and adapt them to the model output.

The most important part of the model is the time-based variables. The machine learning model will try to analyse patterns in the historical data to try to predict when a sector will be regulated, so it is essential to have a date-based input variable format. The input variables will be based on the information that can be extracted from the matrix in Figure 2. In particular, the following information will be extracted.


Using this information, it is considered that a complete temporal analysis can be established and that the simplicity of the machine learning model is maintained.
