{runway}: An R Package to Visualize Prediction Model Performance
Jie Cao, PhD student in the department of Computational Medicine at the University of Michigan, presents on {runway} an R Package for Visualization Prediction Model Performance. The {runway} package was designed by the team at the University of Michigan to help researchers visualize their prediction model performance. Jie Cao, gives a walkthrough of the {runway} R Package on its features and how to use it, along with some exampes and ways to apply it to the prediction model performance.
Originally presented at R/Medicine 2021 by Jie Cao and Karandeep Singh
https://r-medicine.org
Main Sections
0:00 Introduction
0:40 Why is it called {runway}?
1:12 Core model performance visualizations
2:05 Input data
2:22 ROC curve
2:42 Threshold-performance plot
5:00 Model calibration
5:46 Calibration plot - N Bins
6:17 Calibration plot - Smoothing
6:36 Calibration plot - Multiple models
6:58 Application - Deterioration model evaluation
7:58 Application - Sepsis model evaluaiton (1)
8:38 Application - Sepsis model evaluation (2)
9:02 Acknowledgement
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