Products | Versions |
---|---|
Spotfire Statistica | 12.0 and higher |
When using a model built by a training dataset to make predictions on a test dataset, you get missing value/ incomplete cases for the predictions on the test dataset. If cases in the test dataset have missing values on those variables selected as predictors in the trained model, they will not get predicted results from the trained model.
In many data mining modules of Statistica, missing data in the training set can be handled by the algorithm.
Here are a few examples of how missing value is handled in some Statistica modules: