Score Tab

About: This article describes the Score tab in Predict.
Purpose: Use the Score tab to apply a Predict model formula to a dataset to score a variable for an outcome likelihood or predicted value. 

Table of Contents

• Introduction
• Score Tab
• Related Article

Introduction

The Score tab is a built-in tool to apply saved and/or memorized models to new datasets and score the records. The scoring process results in a probability score being calculated for each row in the selected dataset for binary y-variables (logistic regression) or a predicted value for each row in the selected dataset for continuous y-variables (Ordinary Least Squares linear regression).

Score Tab

Once a scoring file is located and saved, the Score tab will open. This is where the process of scoring a dataset takes place. The columns of the scoring dataset are listed on the left side of the screen. There are two options to import a model formula: Load Scoring Model or Select Memorized Model. Several output options become available if the scoring dataset contains a y-variable equivalent to the y-variable of the scoring model. The Start Scoring button will initiate the scoring process.

Related Article

• Getting Started in Predict