Parameter

Description

Learners it applies to



How many Learners do you want to include?

The number of learners that will be added to the model. If more than one, the system will clone the technique you are defining.

Linear Regression
Logistic Regression
Decision Tree
Support Vector Machines (SVM)
Neural Network
Random Forest
Gradient Boost


Maximum Depth

The maximum tree depth for each tree. Must be greater than 1.

Decision Tree
Gradient Boost
Random Forest


Number of Iterations

The number of iterations to use. Must be greater than 0.

Gradient Boost


Number of Trees

The number of trees to use. Must be greater than 1.

Random Forest


Hidden Unit %

The percentage of the number of input nodes to use in each hidden layer. Must be between 0 and 1, exclusive to inclusive. Default value is 0.2.
Example: If the default value is used and the input layer has 10 nodes, each hidden layer will contain 10 * 0.2 = 2 hidden nodes.

Neural Network


Layer Count

The number of layers to use in the neural net. A value of 2 means 1 input layer and 1 output. A value of 3 adds a hidden layer and a value of 4 adds a second hidden layer.

Neural Network
