Preface
Once the data set is ready for model development, the model is
fitted, predicted, and evaluated in the following ways:
- Cleansing the data set
- 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:
Refer to the following website for information on performing
modeling, evaluating, and predicting.