Web Applications¶
Hypothesis Testing
In a blind taste test, could you tell the difference between Coke and Pepsi? This interactive application demonstrates how hypothesis testing could be used to answer this question.
The Multiple Testing Problem
This application illustrates alpha inflation and the multiple testing problem.
Overfitting
This interactive application demonstrates the concept of overfitting. Users can adjust the highest degree polynomial of a regression model fit to training data, and observe how the model’s performance changes on a test set.
Dummy Variables
This application accompanies the case Precision Paint Co. by Professors Iavor Bojinov, Chiara Farronato, and Janice Hammond, Senior Lecturer Michael Parzen, and Research Associate Paul J. Hamilton. It demonstrates the interpretation of dummy variables in a regression model.
Confusion Matrices & ROC Curves
Using the spam email data set (here), this application demonstrates the relationship between model thresholds, confusion matrices, and ROC curves.
Unsupervised Clustering
This application accompanies the case Chateau Winery (A): Unsupervised Learning by Professor Srikant M. Datar and Research Associate Caitlin N. Bowler. It demonstrates the application of several different clustering algorithms to customer purchase data from the fictional Chateau Winery.