In today’s class, we discussed the format of the report and what concepts we needed to include in the report.
Regarding project
We have done the visualization part. That visualization shows the relationship between the independent variables and dependent variables for the test data. The independent variables are obesity and inactivity, and the dependent variable is diabetes. We have drawn the plots between obesity and diabetes and inactivity and diabetes. Also, I got the R^2 value and the mean squared error value. The R^2 value is 0.395; this represents the proportion of the variance for the dependent variable that is explained by the independent variable in the model. The R^2 ranges from 0 to 1, with higher values indicating a better fit. The MSE value is -0.400063. This represents the average of the squares of the error between the predicted and actual values. Lower values are better, but the scale depends on the dependent variable.