After she built the model, the scientist assessed it using a confusion matrix. In total, her model classified 4050 images. The model predicted that 3200 records would be tomatoes, and that 850 would be apples. The model's precision rate was 90 percent. The overall error rate for the entire model was 16 percent. 01' all 4050 images in this dataset, how many were actually tomatoes