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StatsToDo : Classification by Naive Bayes Probability Program
Program Help & Hints
 Data: Attributes ± Outcome Designation Array of of Apriori Probabilities 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 = Text string representing attributes of predictor     Col 2 = Text string representing Outcome Data Input for Interpretation     The data is for a table with single columns of attributes     Each row contains data from a case for interpretation 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
Program 1.

 Reference Table of Counts 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     Col 1 contains attributes of predictor     The other columns are the outcomes     The first row contains the outcome names     Each following row represent attributes     Each cell is the count of the attribute (row) for that outcome (Col)
Program 2.

 Probabilities for each attribute given the outcome P(a|o) Table of Probabilities Input Table of Probability of attributes for each outcome P(a|o)     This is a table of probabilities P(a|o)     Col 1 contains attributes     The other columns are the outcomes     The first row contains the outcome names     Each following row shows each attribute, and its P(a|o)     Each cell is the Probability attribute for the outcome P(a|o)
Program 3.

Program 4.