Q1. Discussion Board:

Note the basic concepts in data classification.
Discuss the general framework for classification.
What is a decision tree and decision tree modifier? Note the importance.
What is a hyper-parameter?
Note the pitfalls of model selection and evaluation.
Requirement: 300 Words

Deadline: 2 days

Q2. In an essay format answer the following questions:

After reading the chapter by Capri (2015) on manual data collection. Answer the following questions:

What were the traditional methods of data collection in the transit system?
Why are the traditional methods insufficient in satisfying the requirement of data collection?
Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact to expensive and labor-intensive nature.