What is a confusion matrix used for in classification tasks?

A financial institution is facing increased cases of credit card fraud.  To mitigate this, they want to build a model that flags transactions as “Fraudulent” or “Not Fraudulent” based on patterns in transaction data – like location, time, and amount.  What machine learning technique should they use?

A human resources department at a multinational corporation is revising its salary structure.  They want to predict employee salaries based on inputs like experience, education, and role to ensure fairness and competitiveness in the market.  What machine learning technique should they use?

A real estate company is developing a tool to assist agents in setting competitive listing prices for homes.  They want to predict the selling price based on inputs, such as location, square footage, and number of bedrooms.  What machine learning technique should they use?

A video streaming platform notices a decline in subscriber numbers and wants to take preemptive action.  To do this, they need a model that can predict whether customers will renew or cancel their subscription based on their level of engagement.   What machine learning technique should they use?

An energy company measures household energy usage in kilowatt-hours (e.g. 15.75 kWh) to optimize electricity production.  This data is best classified as:

A hospital records patient information, including names, birthdates, diagnoses, and medications, in an electronic health record (EHR) system that uses a relational database. What type of data is this?

Which of the following is a sign/symptom of Addison’s disease?

For how long would you have to be showing signs of fatigue to fit the criteria to be diagnosed with chronic fatigue syndrome?

Which type of exercise is generally recommended for patients with systemic lupus erythematosus (SLE) during physical therapy?