Identify performance metrics

Here you will be given a set of model performance metrics, and will have to identify what kind of performance metrics are they - precision (classification), recall (classification) or error (regression).

CHEATSHEET: Precision measures how many of the predictions of that class turned out to be true. Recall measures how many of the total observations of that class the prediction was able to capture (or recall). Regression error calculates how far away the prediction is from the observed number.