Table 5.
Analysis of variance among preeclampsia subgroups considering the predictive parameters from machine learning-based models.
| Variance between Groups | Sum of Squares | Mean SQUARE | F | p Value | Eta Squared | 95% CI Lower Bound | 95% CI Upper Bound |
|---|---|---|---|---|---|---|---|
| TPR | 4895.68 | 1631.89 | 12.25 | <0.001 | 0.75 | 0.29 | 0.83 |
| PPV | 7455.69 | 2485.23 | 36.96 | <0.001 | 0.90 | 0.67 | 0.93 |
| Accuracy | 546.05 | 182.01 | 13.68 | <0.001 | 0.77 | 0.34 | 0.84 |
| AUC | 0.18 | 0.06 | 34.77 | <0.001 | 0.89 | 0.65 | 0.93 |
| Precision | 0.64 | 0.21 | 11.41 | <0.001 | 0.74 | 0.27 | 0.82 |
| Recall | 0.76 | 0.25 | 37.17 | <0.001 | 0.90 | 0.67 | 0.93 |
| F1 score | 0.78 | 0.26 | 32.44 | <0.001 | 0.89 | 0.63 | 0.92 |
Table 5 legend: TPR—true positive rate; PPV—positive predictive value; AUC—area under the curve; CI—confidence interval. Tests used: ANOVA analysis with the Bonferroni post hoc test.