You work for a magazine publisher and have been tasked with predicting whether customers will cancel their annual subscription using a machine learning model. In your exploratory data analysis, you discover an imbalanced dataset: 90% of individuals renew their subscription every year, whereas only 10% cancel. After training a Neural Network Classifier, your model achieves 99% accuracy in predicting those who cancel their subscription and 82% accuracy in predicting those who renew their subscription. Considering these results and the context of imbalanced data, how should you interpret the model's performance?