Description
The Lower Bound value is equal to or greater than the Upper Bound value for a hyperparameter in the value table.
Solution
Provide an Upper Bound value that is greater than the Lower Bound value for each hyperparameter in the value table.
| Label | Name | Range |
|---|---|---|
Number of Trees | number_of_trees | An integer value greater than 1. |
Maximum Tree Depth | maximum_depth | An integer value greater than or equal to 0. |
Minimum Leaf Size | minimum_leaf_size | An integer value greater than 1. |
Data Available per Tree (%) | sample_size | An integer value greater than 0 and less than or equal to 100. |
Number of Randomly Sampled Variables | random_variables | An integer value less than or equal to the number of explanatory variables. This includes the explanatory variables from fields, distance features, and rasters. |
Learning Rate (Eta) | eta | A double value greater than 0 and less than or equal to 1. |
L2 Regularization (Lambda) | reg_lambda | A double value greater than or equal to 0. |
Minimum Loss Reduction for Splits (Gamma) | gamma | A double value greater than or equal to 0. |
Maximum Number of Bins for Searching Splits | max_bins | An integer value greater than 1 or equal to 0. A value of 0 means the model will create a candidate split at every data point. |