13 Classifiers II

We will focus on the assignment task. As a possible material we can also look at linear classifiers, an example of a classifier with an unknown probability distribution of data, or at Bayes rules.

1. Covid-19 False Positive tests: given real data on True Negative probability on covid-19 tests, find the approximate number of False Positive that will occur for a fixed number of tests.
2. How to recognize Underfitting and Overfitting
3. (Optional) Determine how the calculation of the optimal strategy can be done with argmax instead of argmin when using a particular case of loss function.

+ Other exercises see pdf

• Finish both parts of the machine learning assignment.