Evaluation

Evaluation

Our evaluation process included below steps:

• Linear Regression Model
  • Our linear regression model gives us an accuracy score of 70.8%
  • This event related to COVID and demographic analysis has to be analysed on another parameter rather than just a linear model as we cannot get an exact view of these relations in just linear format
• Decision Tree Model
  • Our decision tree model showed signs of over-fitting in the beginning
  • Once tuned it gave a better accuracy of 92.4% on train set and 91.8% on test set

Refer to the html version of our notebook for full details on the code, steps, plots and our findings.