Binaryluokittelussa
Binaryluokittelussa, often referred to as binary classification in English, is a fundamental machine learning task. It involves assigning data points to one of two predefined categories or classes. The goal is to build a model that can accurately predict which of the two classes a new, unseen data point belongs to. Common examples of binary classification problems include spam detection (spam or not spam), medical diagnosis (disease present or absent), and sentiment analysis (positive or negative review).
The process typically starts with a dataset containing labeled examples, where each data point is already assigned
During training, the algorithm learns patterns and relationships within the data that distinguish between the two