Data centric Explainable ML Tutorial 10: Lab 4 Step 3

In this step, we will train and evaluate the random forest (RF) model, and perform land cover classification. Additional resources Data-centric Explainable Machine Learning for Land Cover Classification: A Practical Guide in R https://aigeolabs.com/buy-ebook/ Explainable Machine Learning for Land Cover Classification: An Introductory Guide https://aigeolabs.com/ebooks/ Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models. With examples in R and Python. https://ema.drwhy.ai/ R Script for Lab 4 https://aigeolabs.com/wp-content/uploads/2022/03/Lab-4-Data-centric-Explainable-ML.zip Lab 4 Data Set (Download Links) https://aigeolabs.com/wp-content/uploads/2022/03/EO_TA_2020_Polygon_Dec_Updated.zip