maskinlæringsopgaven
Maskinlæringsopgaven, often referred to as a machine learning task, defines the specific problem that a machine learning algorithm is designed to solve. It encompasses the input data, the desired output, and the objective or metric used to evaluate the algorithm's performance. Common examples of maskinlæringsopgaver include classification, regression, clustering, and anomaly detection.
In classification tasks, the goal is to assign data points to predefined categories. For instance, spam detection
Clustering involves grouping similar data points together without prior knowledge of the categories. This is useful
The definition of a maskinlæringsopgaven is crucial as it guides the selection of appropriate algorithms, features,