Learn to predict class membership for the Datasaurus Dozen dataset using tidymodels in this informative 27-minute video tutorial by Julia Silge. Explore multiclass evaluation metrics to determine which of the #TidyTuesday Datasaurus Dozen are easier or harder for a random forest model to identify. Follow along as the tutorial covers key concepts including resampling, preprocessing, evaluation, ROC curves, confusion matrices, and result visualization. Gain practical insights into model performance and interpretation, with code examples available on Julia's blog for further study and implementation.