JMP 14.0 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 13 Online Documentation
JMP 12 Online Documentation
Predictive and Specialized Modeling
• Naive Bayes
Previous
•
Next
Naive Bayes
Classify Observations Using Probabilistic Assumptions
The Naive Bayes platform is available only in JMP Pro.
The Naive Bayes platform fits a model to predict the value of a categorical variable. Naive Bayes is a fast and computationally simple method. It is especially suitable for situations where there are a large number of predictors.
Figure 8.1
Example of Naive Bayes Analysis
Contents
Overview of the Naive Bayes Platform
Example of Naive Bayes
Launch the Naive Bayes Platform
The Naive Bayes Report
Fit Details Report
Response Column Report
Confusion Matrix Report
ROC Curves
Naive Bayes Platform Options
Additional Example of Naive Bayes
Statistical Details for the Naive Bayes Platform
Algorithm
Saved Probability Formulas
Previous
•
Next
Help created on 7/12/2018