110532: The Upper Bound value must be greater than the Lower Bound value in <value>.

Description

The Lower Bound value is equal to or greater than the Upper Bound value for a hyperparameter in the value table.

Provide an Upper Bound value that is greater than the Lower Bound value for each hyperparameter in the value table.

The range of valid values for each hyperparameter.
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.