To implement a logistic regression model in R, you can follow these steps:
1. **Install and Load Necessary Libraries**: You may need the `dplyr` library for data manipulation and `caret` for model evaluation.
2. **Prepare the Data**: Load your dataset and preprocess it as needed.
3. **Split the Data**: Divide your data into a training and testing set.
4. **Fit the Logistic Regression Model**: Use the `glm` function to fit the model.
5. **Make