How do partially labeled messages impact label predictions in UiPath Communications Mining?

Partially labeled messages in UiPath Communications Mining can negatively impact model performance because incomplete or inconsistent labeling creates ambiguity for the model during training. This leads to the model receiving conflicting signals, which hampers its ability to generalize well across the dataset, resulting in reduced precision and recall in predictions. Proper and complete labeling is critical to ensure the model learns accurately from the data