Results - Previous Models
1. Logarithmic Model
1. Logarithmic Model
('Regression Coefficients (co-ef, intercept): ', array([[-0.72043952]]), array([ 76.85926264]))
('RMSE for Logarithmic Model:', 18.267888287745343)
('MAE for Logarithmic Model:', array([ 14.4996695]))
2. Linear Model
2. Linear Model
('Regression Coefficients for Linear Model (co-ef, intercept): ', array([[-0.20340121]]), array([ 77.29657469]))
('RMSE for Linear Model:', 18.277001257419702)
('MAE for Linear Model:', array([ 14.51024666]))
3. Inverse Square Model
3. Inverse Square Model
('Regression Coefficients (co-ef, intercept): ', array([[ 0.00024704]]), array([ 77.09772804]))
('RMSE for Inverse Square Model:', 18.277583175161464)
('MAE for Inverse Square Model:', array([ 14.50925512]))
4. Inverse Model
4. Inverse Model
('Regression Coefficients (co-ef, intercept): ', array([[ 0.13592355]]), array([ 76.81268147]))
('RMSE for Inverse Model:', 18.272353532840647)
('MAE for Inverse Model:', array([ 14.50032124]))
After having 21+7 features:
('Regression Coefficients (co-ef, intercept): ', array([[-0.80822957]]), array([ 76.82454659]))
('RMSE for Logarithmic Model:', 17.909231963880185)
('MAE for Logarithmic Model:', array([ 14.19790979]))
('Regression Coefficients for Linear Model (co-ef, intercept): ', array([[-0.40009364]]), array([ 77.48377963]))
('RMSE for Linear Model:', 17.919228878296373)
('MAE for Linear Model:', array([ 14.21173595]))
('Regression Coefficients (co-ef, intercept): ', array([[ 0.00026538]]), array([ 77.09759634]))
('RMSE for Inverse Square Model:', 17.921748994435315)
('MAE for Inverse Square Model:', array([ 14.21081822]))
('Regression Coefficients (co-ef, intercept): ', array([[ 0.13498715]]), array([ 76.81192832]))
('RMSE for Inverse Model:', 17.91615779896615)
('MAE for Inverse Model:', array([ 14.20093127]))