Al- Salaam Alikom,
We used only one AutoML package for Autism Diagnosis from Children images, and I am wondering
Is there an advantage to use AutoML package rather than other AutoML packages? For medical diagnosis problems from images and other dataset types.
This is a good research question that you can examine about it in machine learning for medical diagnosis problem
Yes, this paper uses only one package of AutoML in comparing with traditional and transfer learning methods
Deleted research item The research item mentioned here has been deleted
and the continuation of this research is to use other AutoML methods besides explainable AI.
The advantage of using an AutoML package over other alternatives is its ability to automate and simplify the machine learning workflow, reducing the need for manual intervention and expertise. It provides automated feature engineering, model selection, and hyperparameter optimization, saving time and effort in the model development process. Additionally, AutoML packages often offer scalability and compatibility with existing frameworks, enabling efficient processing of large datasets and seamless integration into existing workflows.
There are various AutoML packages available, each with its own set of features and capabilities. The choice of an AutoML package depends on specific requirements and preferences. However, some advantages of using certain AutoML packages can be highlighted:
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