How to Run Machine Learning Diagnostics - Prediction-Accuracy Table

This article describes how to create a Machine Learning Prediction-Accuracy Table, as shown below. This type of output is also referred to as a confusion matrix, classification accuracy, and hit-miss table.

Requirements

• A Machine Learning output (eg, CART, Support Vector Machine, Linear Discrimination Analysis, etc.)

Method 1 - Creating a separate output 

1. Select the Machine Learning output.
2. Go to the Object Inspector > Data > Diagnostics > Prediction Accuracy Table.
    

Method 2 - Changing the output type

1. Select the Machine Learning output.
2. Go to the Object Inspector > Visualization > Regression and Machine Learning Diagnostics > Prediction Accuracy Table.  

Next

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