developing data prods assignment week 3

This is a beginner-friendly, step-by-step guide to building a modern Expected Threat (xT) model. It will show you how to use a Random Forest in regression mode to predict a continuous xT_value. This tutorial moves beyond simple, static zones by incorporating dynamic predictors like defensive pressure and density to create a more realistic model. You'll learn the complete ML workflow: creating mock data, splitting into training/testing sets, building and tuning the randomForest model, and interpreting the results with caret and varImpPlot.

Data Source: Heating Gas Consumption And Cost (NYCHA 2025) Electric Consumption And Cost (NYCHA 2025) NYCHA Development Data Book(NYCHA 2025)

The Average_TAT