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. 2023 Jun 26;25:e43633. doi: 10.2196/43633

Table 2.

Performance of XGBa, RFb, and L1c obtained with 10-fold cross-validation.


 AUC-ROCd, mean (95% CI) AUC-PRCe, mean (95% CI) Precision, mean (95% CI) Recall, mean (95% CI) F1-score, mean (95% CI)
XGB model

Wf2 0.85 (0.84-0.85) 0.57 (0.56-0.58) 0.63 (0.62-0.64) 0.41 (0.40-0.42) 0.50(0.48-0.51)

W3 0.8 (0.89-0.90) 0.78 (0.78-0.79) 0.77 (0.76-0.78) 0.66 (0.65-0.67) 0.71(0.70 0.72)

W4 0.9 (0.90-0.91) 0.85 (0.85-0.85) 0.80 (0.80-0.80) 0.74 (0.74-0.75) 0.77 (0.77-0.78)

W5 0.92 (0.92-0.92) 0.89 (0.89-0.89) 0.83 (0.83-0.84) 0.79 (0.79-0.80) 0.81 (0.81-0.82)

W6 0.92 (0.92-0.93) 0.91 (0.91-0.91) 0.85 (0.84-0.85) 0.83 (0.82-0.83) 0.84 (0.83-0.84)

W7 0.93 (0.93-0.93) 0.93 (0.92-0.93) 0.86 (0.86-0.86) 0.86 (0.85-0.86) 0.86 (0.86-0.86)

W8 0.93(0.93-0.94) 0.94 (0.94-0.94) 0.87 (0.87-0.88) 0.88 (0.88-0.88) 0.88 (0.88-0.88)

W9 0.94 (0.94-0.94) 0.95 (0.95-0.95) 0.89 (0.88-0.89) 0.89 (0.89-0.90) 0.89 (0.89-0.89)

W10 0.94 (0.93-0.94) 0.95 (0.95-0.95) 0.89 (0.88-0.89) 0.90 (0.90-0.91) 0.89 (0.89-0.90)

W11 0.93 (0.93- 0.93) 0.95 (0.95-0.95) 0.89 (0.88-0.89) 0.91 (0.91-0.91) 0.90 (0.90-0.90)

W12 0.93 (0.93-0.93) 0.95 (0.95-0.96) 0.89 (0.89-0.90) 0.92 (0.91-0.92) 0.91(0.90-0.91)
RF model

W2 0.84 (0.83-0.84) 0.55 (0.54-0.57) 0.45 (0.43-0.47) 0.72 (0.71-0.73) 0.55 (0.54-0.57)

W3 0.88 (0.88-0.89) 0.77 (0.76-0.78) 0.69 (0.68-0.69) 0.73 (0.72-0.74) 0.71 (0.70-0.71)

W4 0.90 (0.90-0.90) 0.84 (0.84-0.85) 0.76 (0.76-0.77) 0.78 (0.77-0.79) 0.77 (0.77-0.77)

W5 0.91 (0.91-0.91) 0.88 (0.88-0.89) 0.81 (0.80-0.83) 0.80 (0.78-0.82) 0.81 (0.80-0.81)

W6 0.92 (0.92-0.92) 0.91 (0.90-0.91) 0.85 (0.84-0.85) 0.81 (0.79-0.82) 0.83 (0.82-0.83)

W7 0.92 (0.92-0.93) 0.92 (0.92-0.93)

 0.87 (0.86-0.88) 0.83 (0.82-0.84) 0.85 (0.84-0.85)

W8 0.93 (0.93-0.93) 0.94 (0.93-0.94) 0.88 (0.88-0.89) 0.85 (0.84-0.86) 0.87 (0.86-0.87)

W9 0.94 (0.93-0.94) 0.95 (0.95-0.95) 0.90 (0.90-0.91) 0.86 (0.85-0.86) 0.88 (0.88 -0.88)

W10 0.93 (0.93-0.93) 0.95 (0.95-0.95) 0.91 (0.90-0.91) 0.86 (0.85-0.86) 0.88 (0.88-0.89)

W11 0.93 (0.93-0.93) 0.95 (0.95-0.95) 0.91 (0.91-0.91) 0.86 (0.86-0.87) 0.89 (0.88-0.89)

W12 0.93 (0.92-0.93) 0.95 (0.95-0.96) 0.92 (0.91-0.92) 0.86 (0.85- 0.87) 0.89 (0.88-0.89)
L1 model

W2 0.81 (0.80-0.81) 0.44 (0.43-0.44) 0.34 (0.34-0.35) 0.85 (0.84-0.86) 0.49 (0.49-0.49)

W3 0.88 (0.88-0.88) 0.75 (0.74-0.76) 0.75 (0.74-0.75) 0.67 (0.66-0.68) 0.71 (0.70-0.72)

W4 0.90 (0.89-0.90) 0.83 (0.82-0.83) 0.79 (0.78-0.79) 0.75 (0.74-0.76) 0.77(0.76-0.77)

W5 0.91 (0.90-0.91) 0.87 (0.87-0.88) 0.82 (0.81-0.82) 0.80 (0.79-0.81) 0.81 (0.80-0.81)

W6 0.91 (0.91-0.92) 0.89 (0.89-0.90) 0.83 (0.82-0.84) 0.84 (0.83-0.84) 0.83 (0.83-0.84)

W7 0.92 (0.92-0.92) 0.91 (0.91-0.92) 0.84 (0.84-0.85) 0.87 (0.87-0.87) 0.86 (0.85-0.86)

W8 0.93 (0.92-0.93) 0.93 (0.93-0.93) 0.87 (0.87-0.88) 0.88 (0.87-0.88) 0.87 (0.87-0.88)

W9 0.93 (0.93-0.93) 0.94 (0.94 -0.94) 0.89 (0.89-0.89) 0.88 (0.88-0.89) 0.89 (0.88-0.89)

W10 0.93 (0.92-0.93) 0.94 (0.94-0.94) 0.89 (0.89-0.90) 0.88 (0.88-0.89) 0.89 (0.89-0.89)

W11 0.92 (0.92-0.93) 0.94 (0.94-0.94) 0.90 (0.90-0.90) 0.89 (0.88-0.89) 0.89 (0.89-0.90)

W12 0.92 (0.92-0.93) 0.95 (0.94-0.95) 0.91 (0.90-0.91) 0.89 (0.88-0.89) 0.90 (0.89-0.90)

aXGB: extreme gradient boosting.

bRF: random forest.

cL1: logistic regression with L1 regularization.

dAUC-ROC: area under the receiver operating characteristic curve.

eAUC-PRC: area under the precision-recall curve.

fW: week; the number beside stands for the week of the program and ranges 2 to 12.