How many places must fields be labeled for classification when exporting?

When exporting fields for classification, it is essential to label at least one field to provide the necessary context for the classification model to understand what data it will be processing. Labeling just one field allows the model to grasp the characteristics and patterns associated with that specific field, which can be critical for achieving acceptable performance in data classification tasks.

The other options suggest a higher number of labeled fields, which while potentially beneficial for improving the model's accuracy and robustness, are not mandatory for the initial export process. Labeling at least one field ensures that there is a foundation upon which the classification model can begin its learning process. Thus, the emphasis on a minimum of one labeled field underscores the basic requirement for initiating a classification task effectively.