A healthcare organization is developing a machine learning model aimed at predicting thyroid cancer occurrences. The training dataset comprises 900 instances labeled as negative (no cancer) and 100 instances labeled as positive (cancer). Despite achieving an accuracy of 90%, the model demonstrates significantly low recall for detecting positive instances. Which TWO of the following approaches should be considered to enhance the model's overall performance, specifically improving recall?