The purpose of this article is to explain Model Evaluation




Purpose: Uses the testing data set to evaluate model performance.




Outputs:

  • One Scatter Plot Visualization.
    - On the Y axis: Prediction Columns.
    - On the X-axis the test column.
  • One cross table visualization. with RMSE (Root Mean Square Error)
    - This will show the prediction columns with its values.



Examples: 



See User Guider how to setup Model Evaluation: Data Science Toolkit Model Evaluation User Guide: How to setup Model Evaluation