Table 3 Accuracy, precision, recall rate, and F1 value of the five models
From: Establishment of a model for predicting preterm birth based on the machine learning algorithm
Model | Accuracy | Recall | Precision | F1 value |
|---|---|---|---|---|
Logistic Regression Model | 0.953 | 0.987 | 0.960 | 0.970 |
Decision Tree | 0.953 | 0.984 | 0.964 | 0.968 |
Naïve Bayes | 0.945 | 0.964 | 0.974 | 0.954 |
Support Vector Machine | 0.949 | 0.978 | 0.964 | 0.963 |
AdaBoost | 0.954 | 0.985 | 0.963 | 0.969 |