Predictive Modelling
Predictive modelling 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 modelling functions in Tableau.
Other articles in this section
- How Predictive Modelling Functions Work in Tableau
- Choosing a Predictive Model
- Choosing Predictors
- Compute Using and Data Partitioning in Predictive Modelling
- Example – Explore Female Life Expectancy with Predictive Modelling Functions
- Predictive Modelling Functions in Time Series Visualisations
- Predictive Modelling with Generated Marks
- Regularisation and Augmentation in Predictive Modelling
- Resolve Errors in Predictive Modelling Functions