The methodology established in solving problems similar to our study case involves a process consisting of several sequential and repetitive phrases. For this purpose, it was very useful to automate the workflow. Although there are tools such as KNIME in this work, we developed our own pipeline to simplify common tasks such as training, model evaluation, and writing individual reports. Through the orderly execution of codes written using the python3 programming language and the python libraries: pandas, scikit-learn, numpy, and matplotlib. Of note, the pipeline elements can be used on any machine, computational cluster, or operating system and make the code generated broadly used to solve new problems in the future. These files were developed to make our code more readable and reproducible.