Phillip H. Sherrod - Software Products

NLREG performs nonli...

NLREG

NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated. The programming language includes a large selection of built-in library functions (sin, cos, log, exp, etc.) that makes it easy to describe complicated models. education mathematics,education science demo listed in education mathematics,education science section.

Keywords: library functions data values dimensional surface plots nonlinear regression models programming language curve fitting answer the phone right triangle

DTREG is a powerful ...

DTREG

DTREG is a powerful statistical analysis program that generates classification and regression decision trees that model data and can be used to predict values. DTREG is a robust application that is installed easily on any Windows system. DTREG reads Comma Separated Value (CSV) data files that are easily created from almost any data source. Once you create your data file, just feed it into DTREG, and let DTREG do all of the work of creating a decision tree and pruning it to the optimal size. Even complex analyses can be set up in minutes. DTREG can build Classification Trees where the target variable being predicted is categorical and Regression Trees where the target variable is continuous like income or sales volume. By simply checking a button, you can direct DTREG to build a classic single-tree model, a TreeBoost model consisting of a series of trees or a Decision Tree Forest model. DTREG uses V-fold cross-validation to determine the optimal tree size. This procedure avoids the problem of "overfitting" where the generated tree fits the training data well but does not provide accurate predictions of new data. DTREG uses a sophisticated technique involving "surrogate splitters" to handle cases with missing values. This allows cases with some available values and some missing values to be utilized to the maximum extent when building the model. It also enables DTREG to predict the values of cases that have missing values. DTREG can display the generated decision tree on the screen, write it to a .jpg or .png disk file or print it. When printed, DTREG uses a sophisticated technique for pagenating trees that cross multiple pages. business, finance misc. business,education training tools,education mathematics demo listed in business, finance misc. business,education training tools,education mathematics section.

Keywords: sophisticated technique decision trees regression trees forest model target optimal size csv data files decision tree statistical analysis program cross validation model data single tree tree model accurate predictions classification trees robust application optimal tree eden music creating

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