What are machine candidates?

Machine candidates refer to potential solutions or algorithms generated by machine learning models during the process of optimization or selection. In contexts like automated machine learning (AutoML), these candidates are different configurations or models that are evaluated based on their performance against a specific task or dataset. The goal is to identify the most effective model or configuration for a given problem. Ultimately, machine candidates help streamline the model selection process, enhancing efficiency and accuracy in predictive tasks.