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StatsToDo : Classification by Naive Bayes Probability Program
Program Help & Hints
 Data: Attributes ± Outcome Designation Data Input for Analysis of reference Data     The data is for a table with 2 columns     Each row contains data from a case from the reference data     Col 1 = Series of + (Positive) and - (Negative) for attributes     Col 2 = Single character or word for Outcome Outcome Designation Data Input for Interpretation     The data is for a table with single columns     Each row contains data from a case from the input data for interpretation     Column with series of + (Positive) and - (Negative) for attributes
Program 1.

 Reference Table of Counts Array of of Sample Size for Each Outcome Input Table of Counts for Analysis of reference Table     This is an alternative input for analysis     The table is a count of the reference data     The number of columns is the number of outcomes     The first row contains the outcome names     Each following row represent an attribute     Each cell is the count of the attribute (row) for that outcome (Col)
Program 2.

 Probabilities P(+|o) Table of Probabilities Array of of A priori Probabilities Array of Costs Coefficients Input Table of Probability of attributes for each outcome P(+|o)     This is a table of probabilities P(+|o)     The number of columns is the number of outcomes     The first row contains the outcome names     Each following row represent an attribute     Each cell is the Probability of Positives in the outcome P(+|o)     To Calculate:     - the attributes must be in the Data input textarea     - The number of attributes in the data and in this table must be compatible Array of Apriori Probabilities     Probability for each outcome before attributes are known     Single row, number of columns = number of outcomes     Columns separated by spaces of tabs     Values representing relative probabilities Array of Costs     Cost of wrongly missing a outcome     Single row, number of columns = number of outcomes     Columns separated by spaces of tabs     Values representing relative costs
Program 3.

Program 4.