- Contents
- Learn about JMP
- Introduction to Predictive and Specialized Modeling
- Modeling Utilities
- Exploring Data for Outliers, Missing Values, and Strong Predictors
- Explore Outliers Utility
- Explore Missing Values Utility
- Make Validation Column Utility
- Neural Networks
- Partition Models
- Bootstrap Forest
- Boosted Tree
- Fit Many Trees, Each Layered on the Previous
- Boosted Tree Platform Overview
- Example of Boosted Tree with a Categorical Response
- Example of Boosted Tree with a Continuous Response
- Launch the Boosted Tree Platform
- The Boosted Tree Report
- Boosted Tree Platform Options
- Statistical Details for the Boosted Tree Platform
- K Nearest Neighbors
- Predict Response Values Using Nearby Observations
- K Nearest Neighbors Platform Overview
- Example of K Nearest Neighbors with Categorical Response
- Example of K Nearest Neighbors with Continuous Response
- Launch the K Nearest Neighbors Platform
- The K Nearest Neighbors Report
- K Nearest Neighbors Platform Options
- Naive Bayes
- Model Comparison
- Formula Depot
- Fit Curve
- Nonlinear Regression
- Gaussian Process
- Time Series Analysis
- Matched Pairs Analysis
- Compare Measurements on the Same Subject
- Overview of the Matched Pairs Platform
- Example of Comparing Matched Pairs
- Launch the Matched Pairs Platform
- The Matched Pairs Report
- Matched Pairs Platform Options
- Example Comparing Matched Pairs across Groups
- Statistical Details for the Matched Pairs Platform
- Response Screening
- Test Many Responses in Large-Scale Data
- Response Screening Platform Overview
- Example of Response Screening
- Launch the Response Screening Platform
- The Response Screening Report
- The PValues Data Table
- Response Screening Platform Options
- The Response Screening Personality in Fit Model
- Additional Examples of Response Screening
- Statistical Details
- Process Screening
- Predictor Screening
- Association Analysis
- Perform Market Basket Analysis
- Association Analysis Platform Overview
- Example of the Association Analysis Platform
- Launch the Association Analysis Platform
- The Association Analysis Report
- Association Analysis Platform Options
- Additional Example: SVD Analysis
- Statistical Details for the Association Analysis Platform
- References
- Index
Chapter 9
Naive BayesClassify 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 9.1 Example of Naive Bayes Analysis
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