What to call this area of ML?

Hey everyone, what do you think would be a good name for an area of ML that would cover:

  1. Error analysis
  2. AutoML for hyperparameter search
  3. Visualizing data inputs to the model
  4. Clustering and identifying common types of errors
  5. Focusing on the most significant errors made by the model
  6. Linking errors made by the model with labels in the training data
  7. Data augmentation

Would love to hear everyone’s thoughts!