Which UiPath Communications Mining model performance factor relates to the proportion of messages in the dataset that have informative label predictions?
In UiPath Communications Mining, the term Coverage refers to the proportion of messages in the dataset that have informative label predictions. This is an important metric that indicates how much of the dataset the model is able to classify with meaningful and relevant labels. High coverage means that the model is effectively assigning labels to a large portion of the data, which is crucial for ensuring the model’s usefulness in automating communication mining tasks.
For more details, refer to:
UiPath Communications Mining Performance Factors: Model Coverage and Accuracy
Communications Mining: Coverage and Other Metrics
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