Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study -

The video tutorial discusses the importance of different metrics like accuracy, recall, and precision in evaluating models, especially in the medical domain. It highlights the significance of recall in cancer detection and precision in diagnosis. The choice of metrics is shown to be business-dependent, with examples like bone fractures. The tutorial also covers model training, evaluation using AUC, and performing predictions, emphasizing the need for careful metric selection based on the problem context.

In what ways can the choice of metrics like AUC impact the evaluation of a medical diagnosis model?

Discuss the importance of using augmented data in training models for medical diagnosis.

What steps can be taken to ensure that a model is effectively predicting outcomes in a medical context?