| Application
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Returns application object. Return value: Object. This property is read only.
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| ApplySampling
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Divides the data set into training and test samples. Return/assignment value: Integer.
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| CasewiseDeletionOfMD
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Casewise deletion of missing data (MD). Return/assignment value: Integer.
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| CodeForTrainingSample
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Code for training sample. Return/assignment value: String.
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| InputDistributions
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Selects the distributions types for the independent variables. Return/assignment value: String.
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| MeanSubstitutionOfMD
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Mean substitution of missing data (MD). Return/assignment value: Integer.
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| MemoryUsageLimit
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Specifies the amount of physical memory that can be used by Statistica Naive Bayes. Return/assignment value: Integer.
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| NValue
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The number of first N cases to be used as the training sample. Return/assignment value: Integer.
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| Name
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Return value: String. This property is read only.
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| Parent
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Returns the parent of the object. Return value: Object. This property is read only.
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| PredictorCodes
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Predictor codes. Return/assignment value: String.
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| ResponseCodes
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Response codes. Return/assignment value: String.
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| RestrictMemoryUsage
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Limits the amount of physical memory that can be used by Statistica Naive Bayes. Note that very large data problems may require significant memory and processing resources. Return/assignment value: Integer.
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| ResultsCodes
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Assignment value: Variant.
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| ResultsOption
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Assignment value: Integer.
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| ResultsOutputFields
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Assignment value: Variant.
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| ResultsSaveFileName
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Assignment value: String.
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| ResultsSelection
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Assignment value: Variant.
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| ResultsSelectionOption
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Assignment value: Variant.
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| ResultsValues
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Assignment value: Variant.
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| ResultsVariables
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Assignment value: Variant.
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| SamplingVariable
|
Specifies the sample variable for dividing the data set into train and testing samples. Return/assignment value: String.
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| SeedForRandomSampling
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Specifies the random number generator seed to be used in the process of (randomly) dividing the data into train and test samples. Return/assignment value: Integer.
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| SizeOfTrainingSample
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Specifies the percentage of the valid cases (determined by case selection conditions) in the data set that will be used to form the training set. Return/assignment value: Double.
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| 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.
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| UseFirstNCases
|
Selects the first N valid cases [determined by the case selection conditions (see case selections)] of the data set as the training sample. The remaining cases will be used for testing. Return/assignment value: Integer.
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| UseMissingCasesIfPossible
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Uses partially missing cases for estimating the model. Return/assignment value: Integer.
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| UseRandomSampling
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Generates the training and test samples randomly. Return/assignment value: Integer.
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| UseSubsetvariable
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Generates the training and test samples from a subsample (subset) variable. Return/assignment value: Integer.
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| Variables
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Select variables for the analysis. Return/assignment value: String.
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