Objective: Prediction of GDP based on Different Socio-economic factors
Data Source: World Bank Open Data
Models | Score | |
---|---|---|
1 | Random Forest | 15.64 % Test MSE |
2 | Ridge Regression | 10.51 % Test MSE |
3 | Principal Component Regression | 9.27 % Test MSE |
4 | Lasso Regression | 6.84 % Test MSE |
5 | MLR with Forward Subset Selection | 5.22 % Test MSE |
Implemented Model: MLR with Forward Subset Selection
Model Coefficients:
GDP Growth = – 2.949 + 1.988 *(Population age 40-44, male)
– 5.305e-01 * (Population age 35-39, female)
+ 2.538 * (Population age 25-29, female)
– 8.169e-01 * (Population age 15-64, Total)
– 6.625e-02 * (Consumer Price Index)
– 5.478e-13 * (Discrepancy in Expenditure Estimate of GDP)
– 9.095e-02 * (Gross National Expenditure)
+ 3.706e-02 * (Military Expenditure)
– 4.941e-10 * (Arms Import)