idkmetrics added to PyPI

idkmetrics' addition to PyPI with plain-English explanations for ML metrics marks a significant step in making machine learning more accessible to developers. This development means that website owners can now more easily understand and implement machine learning models, as the complexity of ML metrics is reduced through idkmetrics' explanations. By leveraging idkmetrics, website owners can better analyze and improve their AI-powered applications, such as chatbots or content recommendation systems, ultimately enhancing user experience. To take advantage of idkmetrics, website owners can start by exploring the library on PyPI and integrating it into their existing ML projects. Additionally, they can use idkmetrics to optimize their llms.txt files by better understanding the performance of their machine learning models, and then adjust their AI bot tracking strategies accordingly. Furthermore, website owners can utilize idkmetrics to create more informative and user-friendly dashboards, providing clearer insights into their AI-driven applications.