Lab 2b metrics interpretation

[gekas145]

Hello,
I have doubts regarding the interpretation of metrics(specifically precision and recall) in the solution of lab 2b:
gamma rays are encoded as 0 in the data and, as sklearn reports for positive class by default, some of questions answers(such as e.g. that recall shows % of gamma rays predicted correctly) are somewhat misleading. To retain the interpretation of the metrics(we are interested in classifying the gamma rays) it's better to encode gamma rays as positive class or use pos_label=0 in metrics calls.