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.
    • Y-axis - Prediction Columns
    • X-axis - Test Column  
  • One Cross Table visualization, with RMSE (Root Mean Square Error)
    • Will show each Prediction Column and its value 

Examples: 

Data Science Toolkit Model Evaluation User Guide: How to set up Model Evaluation

For additional information on RAI Data Science Toolkit documentation, click here.