TidyX 60: pitchf/x model evaluation

We’ve made it!

Over the past 7-weeks, Ellis Hughes and I have been working on various approaches to building a classification model of pitchf/x data using the {mlbgameday} package in R. We are finally ready to compare all of the models we’ve built, displaying the results in a conditionally formatted {gt} table, and discuss our findings.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

For previous episodes in this series:

  1. Episode 53: Pitch Classification & EDA
  2. Episode 54: KNN & UMAP
  3. Episode 55: Decision Trees, Random Forest, & Optimization
  4. Episode 56: XGBoost
  5. Episode 57: Naive Bayes Classifier
  6. Episode 58: Tensorflow Neural Network
  7. Episode 59: Dealing with Class Imbalance