Watch this video to learn how to quickly interpret the results of an AutoML module. In Makya, the proprietary Auto Machine Learning module, known as the AutoML, utilizes a continuous logistic regression model to provide the best model parameters and molecular representations, such as fingerprint size and radius, for a given target. The continuous logistic regression model has the benefits of a classification model, without the drawbacks, namely the threshold effect, and is supported by a bayesian optimization in order to arrive at an optimal solution for each target in a reasonable time and at a reasonable cost.