MachineLearningResultsNB Members

These members are realted to Naive Bayes Results dialog.

Functions

Name Description
Cancel -
OK Return value: Integer.

Properties

Name Description
Application Returns application object. Return value: Object. This property is read only.
CodeGeneratorCLang Generates C deployment code for the analysis. Return value: Object. This property is read only.
CodeGeneratorPMML Generates PMML deployment code for the analysis. Return value: Object. This property is read only.
CodeGeneratorSVB Generates SVB deployment code for the analysis. Return value: Object. This property is read only.
CrossVPlot Displays the plot of the cross-validation error against the v folds. Return value: Object. This property is read only.
CustomPredictions Used for defining new input cases (that are not drawn from the data set) and execute models using them. Return/assignment value: String.
CustomPrior Use this option to define the user defined prior values for the categorical levels of the selected dependent variable. Return/assignment value: String.
DescriptiveStat Displays spreadsheet(s) containing statistics relating to regression and classification results (whichever is appropriate). Return value: Object. This property is read only.
FixedIndependents To generate a posterior graph, all the independent variables, except for the variable that is being altered across the x-axis, must be fixed to some value. This option specifies the values for these fixed independents. Return/assignment value: String.
Histograms Displays the histograms of results. Return value: Object. This property is read only.
IncludeCaseNames Includes case names in two and three dimensional graphs. Return/assignment value: Integer.
IncludeConfidence Includes confidence levels in spreadsheets and graphs. Return/assignment value: Integer.
IncludeInputs Includes the independent variable values in spreadsheets and graphs. Return/assignment value: Integer.
IncludeOutputs Includes the dependent variable values in spreadsheets and graphs. Return/assignment value: Integer.
IncludePredictions Includes prediction values in spreadsheets and graphs. Return/assignment value: Integer.
IncludeResiduals Includes residual values in spreadsheets and graphs. Return/assignment value: Integer.
InputForPosteriorPlot Select the independent variable to be varied across the x-axis. Return/assignment value: String.
MaximumRange Specifies the maximum value of the selected independent variable on the x-axis. Return/assignment value: Double.
MinimumRange Specifies the minimum value of the selected independent variable on the x-axis. Return/assignment value: Double.
Model Prints spreadsheet of model summary. Return value: Object. This property is read only.
Name Return value: String. This property is read only.
OutputForPosteriorPlot Specifies the dependent variable for which you want to generate posterior distributions. Return/assignment value: String.
Overall Use the overall sample to generate results. Return/assignment value: Integer.
Parent Returns the parent of the object. Return value: Object. This property is read only.
Plot2DGraphOfXAndY Plot two dimensional graph of X and Y. Return value: Object. This property is read only.
Plot3DGraphOfXYZ Plot three dimensional graph of X, Y and Z. Return value: Object. This property is read only.
PlotHistogramsOfX Plot histogram of X. Return value: Object. This property is read only.
PosteriorPlot Displays a plot for the posterior distributions for the selected dependent variable. Return value: Object. This property is read only.
PosteriorSpreadsheet Displays a spreadsheet for the posterior distributions for the selected dependent variable. Return value: Object. This property is read only.
PrintCustomPredictions Prints spreadsheet of custom predictions. Return value: Object. This property is read only.
PrintPredictions Displays a predictions spreadsheet. Return value: Object. This property is read only.
ResultsCodes Assignment value: Variant.
ResultsOption Assignment value: Integer.
ResultsOutputFields Assignment value: Variant.
ResultsSaveFileName Assignment value: String.
ResultsSelection Assignment value: Variant.
ResultsSelectionOption Assignment value: Variant.
ResultsValues Assignment value: Variant.
ResultsVariables Assignment value: Variant.
SavePredictionsAndResiduals Save predictions and residuals. Return value: Object. This property is read only.
SelectOutputForPlotting Selects the dependent variable for which to compute the graphs. Return/assignment value: String.
SelectedItemX Selected X axis for plotting. Return/assignment value: String.
SelectedItemZ Selected Z axis for plotting. Return/assignment value: String.
SelectedItemsY Selected Y axis for plotting. Return/assignment value: String.
SelectedOutputForPriorAssignment Selects the dependent variable for which you want to specify prior values. Return/assignment value: String.
Summary Prints a spreadsheet of analysis summary. Return value: Object. This property is read only.
TestSubset Use the test sample to generate results. Return/assignment value: Integer.
Threshold A threshold parameter that specifies a lower bound to use in lieu when zero frequencies are encountered by the Naive Bayes model. Return/assignment value: Double.
TrainSubset Use the training sample to generate results. Return/assignment value: Integer.
UseCustomPrior User defined prior values for the categorical levels of the selected dependent variable. Return/assignment value: Integer.
UseDefaultPrior Assigns prior values to the categorical levels of the selected dependent variable based on the relative frequency. Return/assignment value: Integer.
UseEqualPrior Assigns equal prior values to the categorical levels of the selected dependent variable. Return/assignment value: Integer.