Predikciós

Predikciós is a Hungarian adjective meaning related to prediction or forecast. In statistics, data science and related fields, the term describes models, analyses, or results that are used to forecast future values from available data.

In practice, a predikciós modell maps input variables to a predicted value. Methods used include regression (linear and non-linear), time-series forecasting (ARIMA, exponential smoothing, Prophet), and probabilistic approaches such as Gaussian processes. A predikciós intervallum or prediction interval expresses a range where the future observation is expected to fall with a specified probability, reflecting uncertainty in the forecast.

Predikciós work involves balancing bias and variance, handling data drift, and validating performance on held-out data. Common evaluation metrics include RMSE, MAE, and interval coverage. Limitations include model misspecification, non-stationarity, and reliance on historical patterns that may not persist.

Note: predikciós is primarily used in technical contexts related to forecasting and prediction. In linguistic contexts, predikció can refer to a predicate in grammar, a different sense with its own terminology.