Forecasting Team Meeting - September 30, 2020
Attended: Josh, Keola
Updates
- Reviewed regression models and created templates for each model from scratch
- Topics learned: Linear Reg, Polynomial Reg, SVR, Decision Tree Reg, Random Forest Reg,
Problems
- COVID-19 forced today's lab hours to be online
Reminders
- R-squared is the metric used to determine whether or not the regression model fits the data well.
- A good regression model has an R-squared value close to 1.
- Not one regression model is best. One must evaluate the pros and cons of each regression model in relation to the data when deciding which one to use.
Authors
Contributing authors:
Created by kmacloves on 2020/09/30 22:07.