Table 8 Regression models results of pseudo R2, quantile loss, adjusted R2, and root mean squared error for First Income variable
From: Supervised machine learning predictive analytics for alumni income
A | B | ||||
|---|---|---|---|---|---|
Pseudo R2 | Q-Loss | R2-adj | RMSE | ||
QR50 | 0.13 | 2,266.01 | OLS | 0.20 | 8,554.05 |
QRF50 | 0.10 | 3,167.97 | RFR | 0.19 | 8,609.08 |
QLGB50 | 0.13 | 3,090.62 | LGBR | 0.17 | 8,710.96 |