JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Predictive and Specialized Modeling
•
Naive Bayes
•
Statistical Details for the Naive Bayes Platform
• Saved Probability Formulas
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Saved Probability Formulas
This section describes the formulas saved using the Save Probability Formula option. The conditional probability that an observation with predictor values
x
1
,
x
2
,
…
,
x
p
belongs in the class
C
r
is given by
as shown in the section
Algorithm
.
Naive Score Formulas
The Naive Score formula for a given class
C
r
is the numerator in the expression for
.
The Naive Score Sum formula sums the conditional probabilities
over all classes. This is the denominator in the expression for
.
Naive Prob Formulas
The Naive Prob formula for a given class
C
r
equals
.
Naive Predicted Formula
The Naive Predicted Formula for an observation classifies that observation into the class for which
is the largest. This is equivalent to classifying an observation into the class for which its Naive Score formula is the largest.
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Help created on 9/19/2017