Klasszifikátors
A klasszifikátor, often anglicized as classifier, is a fundamental concept in machine learning and statistics. It refers to an algorithm or function that assigns an input data point to one of several predefined categories or classes. The goal of a classifier is to learn a boundary or decision rule that separates data points belonging to different classes. These classes are typically mutually exclusive, meaning a data point can only belong to one class.
The process of building a classifier involves training a model on a dataset of labeled examples. Each
Common examples of classification tasks include spam detection (classifying emails as spam or not spam), image