you are given a home loan dataset and asked to come up with a way to help companies determine the risk level (between 0.0 to 1.0) of potential borrowers. Which of the folowing AI approaches is the best suited? A. Supervised Learning B. Regression C. Reinforcement Learning D. classification
Added by Tanya P.
Step 1
This rules out Reinforcement Learning, which is typically used when we don't have a dataset to train on and the model learns by interacting with its environment. Secondly, we are asked to predict a risk level, which is a continuous value between 0.0 to 1.0. This Show more…
Show all steps
Your feedback will help us improve your experience
Willis James and 72 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
We are interested in finding out what proportion of borrowers default on a credit card loan. We sample 100 credit card loans. We find that 30 default. A Find the proportion of credit card borrowers that default. B Construct a 95% confidence interval. Carefully interpret your findings. C Construct a 99% confidence interval. Carefully interpret your findings.
Madhur L.
An investor wants to develop a regression model to predict the price of gold using information on the prime interest rate. The independent variable is the _______. Select one: a. prime interest rate b. price of gold c. rate of change of gold prices d. price of gold divided by the prime interest rate
Narayan H.
Sri K.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD