Machine Learning, Logistic Regression, Non Linear.
shows the data distribution and the predicted boundaries upon running the simulation with pipenv run python ./generic.py 1000 1.0 -1.0 1.0 -1.0 The straight line from traditional logistic regression obtains an F1 score of 0.675 whereas the direct minimization of log(LL) gets a perfect score. Figure