An organization is using machine learning to make predictions. One of (Digital Leader)

Correct answer: B) Increased risk of inaccuracy.
Mislabeled data in a machine learning dataset can significantly impact the accuracy of predictions. When training a machine learning model, it relies on the correctness of the labels to learn patterns and make accurate predictions. If the dataset contains mislabeled data, the model may learn incorrect patterns or associations, leading to inaccurate predictions. Therefore, the presence of mislabeled data increases the risk of inaccuracy in the predictions made by the machine learning model.