DOI - AutoML_for_Regression_tasks_30042022

Within this research project I will implement a simple AutoML algorithm for regression tasks using Python.

It will be developed for the purpose of automated selection of the best machine learning technique and configuration the best hyperparameters for a particular regression data set. This simple AutoML system will implement hill climbing search algorithm and will use the following three regression algorithms:

• RandomForestRegressor 

• DecisionTreeRegressor 

• LinearRegression

Furthermore, I will compare the results of my own AutoML system to other state of the art approaches such as:

• auto-sklearn 

• TPOT