What is true about the Auto Classifier node?

The assertion about the Auto Classifier node being able to sort the results by overall accuracy is accurate because it emphasizes one of the primary functionalities of the node. When you use the Auto Classifier, it evaluates multiple classification algorithms and generates a series of models based on the dataset provided.

After executing the node, the resulting models can be organized and ranked according to their performance metrics. While other metrics can be used to rank the models, sorting by overall accuracy is a common practice in order to determine which model performed best in terms of correctly predicting outcomes on the validation set. This capability allows you to quickly identify the most effective model based on how accurately it classifies the data.

In the context of the Auto Classifier node, the ability to sort by overall accuracy plays a crucial role in model selection, ensuring that users can make informed decisions based on the reliability and performance of the models generated.