June 2020
Beginner to intermediate
380 pages
11h 32m
English
Chapter 9: Model Evaluation Metrics
Individual Conditional Expectation (ICE) Plots
Overview
Model evaluation is essential for determining the accuracy and effectiveness of your model. Evaluation metrics can help a data scientist develop a robust model on the training and validation data sets while also providing a framework to evaluate the accuracy of the final model by applying these metrics to the hold-out test and out-of-time data sets. A data scientist must select the appropriate ...