Dozens of AI disease-prediction models were trained on dubious data

Data Quality in Machine Learning

Data quality in machine learning is crucial as the performance of models heavily relies on the quality of the data used for training. Poor quality data can lead to inaccurate predictions and biased outcomes, making data validation and cleaning essential steps in the machine learning process.