From: Applying machine learning to predict future adherence to physical activity programs
Feature | Coefficient | P-value |
---|---|---|
Intercept | 1.378 | 0.033 |
Week number | −0.122 | < 0.001 |
Initial average daily steps | −0.001 | < 0.001 |
Average daily steps | 0.0008 | < 0.001 |
Last week average daily steps | 0.0004 | < 0.001 |
Initial MVPR morning | −0.029 | 0.138 |
Initial MVPR afternoon | 0.027 | 0.041 |
Initial MVPR evening | 0.015 | 0.242 |
Average MVPR morning | 0.067 | 0.02 |
Average MVPR afternoon | −0.037 | 0.103 |
Average MVPR evening | 0.005 | 0.805 |
Last week MVPR morning | −0.032 | 0.058 |
Last week MVPR afternoon | 0.001 | 0.920 |
Last week MVPR evening | −0.003 | 0.797 |
Initial MVPA intensity | −0.158 | 0.479 |
Average MVPA intensity | −0.354 | 0.280 |
Last week MVPA intensity | 0.515 | < 0.001 |
Average goal achieving percentage | 0.161 | 0.849 |
Last week goal achieving percentage | 0.294 | 0.340 |