Description
At least one field in the Explanatory Training Variables parameter contains records, and at least 95 percent of those records have the same value. More variability in the values is required.
In the Forest-based Classification and Regression tool, using a small value for the Data Available per Tree (%) parameter can result in the trees not having enough variability to estimate the model.
Solution
Determine which field has many of the same values, and either remove the field or alter the values to provide more variability.
For the Forest-based Classification and Regression tool, increase the data available per tree. For regression, there must be at least five data values available for each tree, and for classification, there must be at least two data values for each tree. Multiply the number of input features by the value of the Data Available per Tree (%) parameter to determine how many data values will be available for each tree.