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Table 4 Feature importance for the fitted augmented Logistic Regression model for week 20

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