Yes, data cleansing can significantly improve the performance of machine learning models. Machine learning algorithms rely on high-quality, relevant data to learn patterns and make predictions. Cleansing the data of inaccuracies, inconsistencies, and irrelevant information ensures that the model is trained on clean, reliable data, which enhances its ability to generate accurate predictions.
Moreover, data cleansing can help in identifying and removing biased data, further improving the fairness and objectivity of the model's outcomes. Therefore, data cleansing is a critical step in the preparation of data for machine learning, directly impacting the success of these models.