Author: Choonghyun Ryu
Date: 2026-01-11

# Classification Modeling

#### Choonghyun Ryu

#### 2026-01-11

## Preface

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:

## How to perform modeling

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

- `Classification Modeling`