PMG Group Malaysia is a Chinese group of companies best known for its book retailing and online retailing services as well as being involved in the printing, publishing, and supply of books and library services in China and Taiwan. PMG Bookstores currently has 65 outlets in China and 6 in Taiwan.
The management team has been strengthened to improve its customer service and its range of books. Steps have been taken to upgrade the computer system to improve the efficiency of PMG Bookstores` inventory control and customer service delivery. PMG Bookstores continues to seek choice locations for new outlets in China. PMG Group hosts their web application to sell the books and improve web sales. The application is built on AWS running out EC2 and RDS.
PMG Group has lot of existing customers. They launched a campaign to sell new products based on the customer’s interest that can upscale the business. Management want to know the top 50 books every day that will be sold. Please advise. Select 2 options.

Answer options:

A.Logistic Regression algorithm addressing Binary Classification
B.Logistic Regression algorithm addressing Multi-class classification
C.Linear regression algorithm addressing Regression.
D.Area under the Curve (AUC) provides accuracy of the model.
E.Cross-validation for evaluating ML models to detect overfitting.

Answer : B, E
Option A is incorrect. ML models for binary classification problems predict a binary outcome
https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html
Option B is correct. ML models for multiclass classification problems allow you to generate predictions for multiple classes (predict one of more than two outcomes).
https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html
Option C is incorrect. ML models for regression problems predict a numeric value.
https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html
Option D is incorrect. Amazon ML provides an industry-standard accuracy metric for binary classification models called Area Under the (Receiver Operating Characteristic) Curve (AUC).
https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html
Option E is correct. Cross-validation is a technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data. Use cross-validation to detect overfitting
https://docs.aws.amazon.com/machine-learning/latest/dg/cross-validation.html