klasific

Klasific is a term used in information science and applied linguistics to denote the process or method of grouping objects into predefined categories based on shared attributes. In some contexts, it functions as a shorthand for klasifikasi (classification) and is encountered in informal writing, software naming, or bilingual documentation. Because klasific is not universally standardized, its exact usage can vary by field or language.

Definitions and variants: Klasific can refer to the act of classifying (a verb form) or to the outcome (a class assignment). In data science, it aligns with classification tasks, distinguishing items into label categories such as "spam" vs. "not spam" or "disease" vs. "no disease." The term may be used more broadly to describe any systematic method of organizing information into classes.

Approaches: Methods include rule-based classification, statistical models, and machine learning. Supervised learning relies on labeled examples; unsupervised learning finds structure without labels; semi-supervised methods combine both. Popular algorithms include decision trees, logistic regression, support vector machines, k-nearest neighbors, and neural networks.

Applications and challenges: Klasific is used in text categorization, image recognition, fraud detection, medical diagnosis, and library or archive organization. Challenges include data quality, class imbalance, feature selection, explainability, and bias. Evaluation typically uses metrics such as accuracy, precision, recall, F1 score, and confusion matrices.

See also: Classification; Taxonomy; Ontology; Machine learning; Data mining.