Learn to build a predictive text model using R and tidymodels to identify speakers from Avatar: The Last Airbender dialogue. Explore the #TidyTuesday Last Airbender dataset, create visualizations with custom color palettes, and handle class imbalance in the data. Implement preprocessing techniques, evaluate model performance, and calculate model-agnostic variable importance scores to gain insights into the most influential features for speaker prediction.