Goal for this case study: Have better hyperparameters than pyod! So each of you: Gets assigned two algorithms! <l2st> One fairly simple before One more complicated one today </l2st> Try to find the best possible hyperparameters for your algorithms <l2st> Try to be clever (for example: PCA: $n_{components}<n_{features}$. Maybe $\frac{n_{components}}{n_{features}}$ constant? </l2st> Afterwards <l2st> Write down your findings into a simple function (given data, what are my best hyperparameters) Write down your finding into a report (together, double collumn. 6 Pages per student, plus comparison of algorithms to each other) One final presentation together in front of my colleagues. About 10min per student. </l2st>