Model Optimization

Random Picks

• Cost-sensitive Learning: Cost-sensitive learning is a machine learning approach that takes into account the cost of misclassification errors. In traditional machine learning, the goal is to minimize the overall error rate, regardless of the cost of different types ... Read More >>
• Pip: Pip is a package management system used to install and manage software packages written in Python. It simplifies the process of installing and managing dependencies for Python projects. Pip allows users to easily install, upgrade, and remov ... Read More >>
• Multi-class Classification: Multi-class classification is a supervised learning task in which an algorithm is trained to classify instances into one of three or more classes. The goal is to predict the correct class label for new, unseen instances. In multi-class clas ... Read More >>