Time-Series Numeric Prediction Task

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A Time-Series Numeric Prediction Task is a sequential data point estimation task that is a temporal prediction task.




  • (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Forecasting
    • Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgemental methods. Usage can differ between areas of application: for example, in hydrology, the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period.

      Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.

      Although quantitative analysis can be very precise, it is not always appropriate. Some experts in the field of forecasting have advised against the use of mean square error to compare forecasting methods.







  • (Murphy, 1993) ⇒ Allan H. Murphy. (1993). “What is a Good Forecast? An essay on the nature of goodness in weather forecasting.” In: Weather and Forecasting, 8(2). 1993)008<0281:WIAGFA>2.0.CO;2 doi:10.1175/1520-0434(1993)008<0281:WIAGFA>2.0.CO;2