Checked Target Incidence using a Binary classifier Model which provides the output in ‘0 - the donor will not give blood’ and ‘1 - the donor will give blood’. Result is [‘0’ - 0.762] & [‘1’ - 0.238] Zeroed into LogisticRegression model using TPOT, a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming, giving us the AUC score of 0.7850 Improved the AUC score by 0.