Once the data set is ready for model development, the model is fitted, predicted and evaluated in the following ways:

- Cleansing the dataset
- Split the data into a train set and a test set
**Modeling and Evaluate, Predict****Modeling****Binary classification modeling**

**Evaluate the model****Predict test set using fitted model****Calculate the performance metric****Plot the ROC curve****Tunning the cut-off**

**Predict****Predict****Predict with cut-off**

The alookr package makes these steps fast and easy:

For information on how to perform modeling and evaluate, predict, refer to the following website.