Goal for this case study: Have better hyperparameters than pyod!
So each of you: Gets assigned two algorithms!
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One fairly simple before
One more complicated one today
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Try to find the best possible hyperparameters for your algorithms
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Try to be clever (for example: PCA: $n_{components}<n_{features}$. Maybe $\frac{n_{components}}{n_{features}}$ constant?
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Afterwards
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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.
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