What is the minimum number of sample documents required for retraining a UiPath out-of-the-box ML model?

The minimum number of sample documents required for retraining a UiPath out-of-the-box ML model is 30. This specific threshold is important because it ensures that the model has enough data to learn from and improve its accuracy and performance in processing similar documents in the future. A higher number of samples provides a more solid foundation for Machine Learning algorithms, which rely on sufficient and diverse data to generalize well across various scenarios.

Using fewer than 30 samples could result in inadequate training, leading to overfitting or underfitting, which negatively affects the model's efficacy in its real-world application. This ensures that the model is robust and can handle the variety of data it might encounter after deployment, ultimately contributing to better outcomes in automated processes.