Data-centric Explainable ML Lab 1 Tutorial 4: Steps 4 & 5

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This lab introduces accumulated local effects (ALE). In step 4, we define model tuning parameters 4. Then in step 5, we will train and evaluate the random forest (RF) model.

Additional resources
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

Explainable Machine Learning for Land Cover Classification: An Introductory Guide

Data-centric Explainable Machine Learning for Land Cover Classification: A Practical Guide in R

R Script for Lab 1

Lab 1 Data Set (Download Links)
  1. Courage Kamusoko
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sir, which platform use to perform ML model?

sucharitasaha