Machine Learning Question

a) You are developing a machine learning model that predicts how many views a Youtube video will get a numeric value). What would be a good metric to evaluate your model? I. II. III. Mean Square Error (MSE) Accuracy Precision A) 1 B) II C III D) I and II E) I and III F) II and III G) I, II and III Name: ID: b) By changing the threshold, we can change (tradeoff) precision and recall scores. For example, default threshold is 0.5 for Logistic Regression. If the calculated probability is higher than this threshold, it is assigned to positive class; otherwise to negative class. We can increase/decrease this threshold to change precision and recall scores. Which of the following statements are True? 1. II. III. IV. If threshold is raised, precision decreases and recall increases If threshold is lowered, both precision and recall increases If threshold is raised, precision increases and recall decreases If threshold is lowered, precision decreases and recall increases A) I and III B) II, III and IV C) III and IV D) all