Classification Modeling

In alookr: Model Classifier for Binary Classification

knitr::opts_chunk$set(collapse = TRUE, comment = "")

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

alookr documentation built on June 12, 2022, 5:08 p.m.