Shimanto Rahman
Hi, I am Shimanto Rahman a PhD student at Ghent University. In my PhD I specialize in measuring machine learning models as close to the business goals as possible. For that my research interests are in cost-sensitive learning and profit-driven analytics. My way to procrastinate on my PhD is building Empulse.
Session
Not all mistakes in machine learning are equal—a false negative in fraud detection or medical diagnosis can be far costlier than a false positive. Cost-sensitive learning helps navigate these trade-offs by incorporating error costs into the training process, leading to smarter decision-making. This talk introduces Empulse, an open-source Python package that brings cost-sensitive learning into scikit-learn. Attendees will learn why standard models fall short in cost-sensitive scenarios and how to build better classifiers with Scikit-Learn and Empulse.