SAS Factory Miner - Template

Use

Principal Components Impute Tree-Based Variable Selection Variable Selection Filter Decision Tree

Ignore

Transform Variables

Principal Components

Eigenvalue Source

Include Class Variables

Use Missing as Level

Cumulative

Increment

Apply Maximum Number

Maximum Number

Apply Fixed Number

Fixed Number

Impute

Non Missing Variables

Missing Cutoff

Default Class Input Method

Default Target Method

Distribution Cutoff

Statistics

Default Interval Input Method

Default Target Method

Default Character Value

Default Number Value

Type

Source

Tree-Based Variable Selection

Nominal Target Criterion

Interval Target Criterion

Minimum Categorical Size

Maximum Branch

Interval Bins

Leaf Size

Maximum Selected

Relative Importance Cutoff

Variable Selection

Target Model

Maximum Steps

Cumulative Variance Cutoff

Incremental Variance Cutoff

Selection Method

Stop Criterion

Filter

Keep Missing Interval Variable Values

Keep Missing Class Variable Values

Interval Default Method

Class Default Method

Minimum Frequency Cutoff

Minimum Cutoff for Percentage

Maximum Number of Levels Cutoff

Cutoff for Standard Deviation

Cutoff for Robust Methods

Transform Variables

Interval Input

Interval Target

Number of Bins

Missing Values

Reject

Decision Tree

Nominal Target Criterion

Interval Target Criterion

Missing Values

Maximum Leaves

Maximum Depth

Subtree Method

Nominal Target Assessment