A. Please list all supervised learning algorithms you know
B. Please list all unsupervised learning algorithms you know
C. Given two models applied to a data set that has been partitioned, Model A is considerably more accurate than model B on the training data, but slightly less accurate than model B on validation data.
a. Which model are you more likely to consider for final deployment?
b. Please explain why "Model A is considerably more accurate than model B on the training data, but slightly less accurate than model B on validation data" as concise as possible.
D. In order to achieve a given degree of reliability with a given dataset and a given model, for a classification procedure, what is the good ratio between the number of records and predictor variables?