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The source code for drawing ROC curves is provided here for the convenience of beginner users. ROC curves, also known as receiver operating characteristic curves, are a useful tool for evaluating the performance of machine learning models. The provided code includes detailed comments and explanations to help users understand the underlying concepts and make modifications as needed. By using this code, users can gain a better understanding of how ROC curves work and how they can be used to improve the performance of their machine learning models. Additionally, users can apply this code to their own projects and experiments, and use it as a starting point for further customization and development. Overall, this code serves as a valuable resource for those looking to learn more about ROC curves and their applications in machine learning and data science.