Adatpéldányok

Adatpéldányok, often translated as "data instances" or "data samples," refer to individual records or observations within a dataset. In the context of data analysis, machine learning, and statistics, an adatpéldány represents a single entity or event for which a set of attributes or features is recorded. Each adatpéldány is a row in a table or a document in a collection, providing a concrete example of the phenomena being studied.

For instance, in a dataset about customers, a single adatpéldány might describe a specific customer, including their age, purchase history, and location. In a dataset of images, an adatpéldány would be a single image. In a medical context, an adatpéldány could represent a patient’s record with various health metrics. The collection of all such adatpéldányok forms the complete dataset.

Understanding and processing individual adatpéldányok is fundamental to deriving insights from data. Algorithms often operate by examining and learning from these instances to identify patterns, make predictions, or classify new, unseen data. The quality and characteristics of the adatpéldányok directly influence the reliability and effectiveness of any analysis performed on the dataset. Therefore, data preprocessing steps often focus on cleaning, transforming, and validating these individual data points.