Predictive Modeling
Predictive modeling functions in Tableau use linear regression to build predictive models and generate predictions about your data. Two table calculations, MODEL_PERCENTILE and MODEL_QUANTILE, can generate predictions and surface relationships within your data. These can be used to identify outliers, estimate values for sparse or missing data, and predict values for future time periods.
This section provides all the documentation you need to get started with predictive modeling functions in Tableau.
Other articles in this section
- How Predictive Modeling Functions Work in Tableau
- Choosing a Predictive Model
- Choosing Predictors
- Compute Using and Data Partitioning in Predictive Modeling
- Example - Explore Female Life Expectancy with Predictive Modeling Functions
- Predictive Modeling Functions in Time Series Visualizations
- Predictive Modeling with Generated Marks
- Regularization and Augmentation in Predictive Modeling
- Resolve Errors in Predictive Modeling Functions