PredictClass.pdf

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Predict Class

Overview

The Predict Class module will predict a new dataset based on previously stored classifier (from the Classification command). A "Prediction table" is generated that shows the prediction of the classifications of the new dataset.

To run this module, type MicroArray | Predict | Predict Class.

Predict Class menu.png

Input Data Requirements

It works on -Omic data types.

General Options

PredictClass0.png

Input/Output

  • Project & Data: The window includes a dropdown box to select the Project and Data object to be filtered.
  • Variables: Selections can be made on which variables should be included in the filtering (options include All variables, Selected variables, Visible variables, and Customized variables (select any pre-generated Lists)).
  • Observations: Selections can be made on which observations should be included in the filtering (options include All observations, Selected observations, Visible observations, and Customized observations (select any pre-generated Lists).
  • Output name: The user can choose to name the output data object.


Options

  • Specify Model File: This is where the user would select a previously generated model file to be used for prediction of the new dataset in Classification.
  • Observation normalization: Specify the observation normalization method for the new data.
    • If the user previously used Observation normalization when doing the classification, this should be set the same here as well
    • "None", "Center", and "CenterScale" are the available normalization methods
  • Normalize against all variables: Checking this box will normalize the observation using all the variables in the new dataset (instead of just the variables chosen in the Variables section).


Output Results

A predicted table is generated, including Design Table information from the dataset:

PredictClass1.png


OmicScript

Predict Class


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