The article provides a detailed tutorial on conducting a Comet experiment in Java, utilizing the Comet Java library and the Weka library to build a classification task using a breast cancer dataset from Kaggle. It guides readers through setting up the required libraries via Maven, creating a new Maven project, and configuring the project with necessary dependencies and API keys for Comet. The tutorial demonstrates how to load and preprocess data, split it into training and test sets, and implement a Decision Tree classifier to perform the classification task. The tutorial culminates in evaluating the model's precision, recall, and accuracy, which are logged in Comet, allowing users to view these metrics through Comet's dashboard. The article encourages experimentation by providing a GitHub link to the full code and highlights Comet's utility for students and startups by offering free access to its platform.