Supervised Numeric-Value Prediction System

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A Supervised Numeric-Value Prediction System is a supervised learning system (that applies a supervised point estimation algorithm to solve a supervised numeric value prediction task.



    • All major statistical software packages perform least squares regression analysis and inference. Simple linear regression and multiple regression using least squares can be done in some spreadsheet applications and on some calculators. While many statistical software packages can perform various types of nonparametric and robust regression, these methods are less standardized; different software packages implement different methods, and a method with a given name may be implemented differently in different packages. Specialized regression software has been developed for use in fields such as survey analysis and neuroimaging.