Attended: Josh, Keola

• Completed all regression models
• Topics learned: SVR, Decision Tree Regression (DTR), Random Forest Regression (RFR)

• COVID-19 forced today's lab hours to be online

• 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