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forecasting:meeting_minutes_september_30_2020 [2020/09/30 22:07] kmacloves created |
forecasting:meeting_minutes_september_30_2020 [2021/09/19 21:59] (current) |
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| =====Updates===== | =====Updates===== | ||
| - | * Completed all regression models | + | * Reviewed regression models and created templates for each model from scratch |
| - | * Topics learned: SVR, Decision Tree Regression (DTR), Random Forest Regression (RFR) | + | * Topics learned: Linear Reg, Polynomial Reg, SVR, Decision Tree Reg, Random Forest Reg, |
| =====Problems===== | =====Problems===== | ||
| * COVID-19 forced today's lab hours to be online | * COVID-19 forced today's lab hours to be online | ||
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| =====Reminders===== | =====Reminders===== | ||
| * R-squared is the metric used to determine whether or not the regression model fits the data well. | * R-squared is the metric used to determine whether or not the regression model fits the data well. | ||
| - | * A a good regression model has an R-squared value close to 1. | + | * 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. | ||