Model Evaluation

Model evaluation is the process of evaluating the performance of a Machine Learning model on a test set, as it changes in environment, use cases, and adaptations to changes in input data .


  • Performance test: using test data
  • Robustness test: using random or false data
  • Model explainability
  • Result evaluation