1 point 7. You are asked to train a model with the goal of detecting cancer tumors in MRI images. The medical clinic provides you with a dataset containing 1 million images of its patients MRIS from the last ten years, and you are told 3 out of every 10,000 images contain a cancer tumor. If you choose the positive class to be images containing a cancer tumor, which measure best evaluates the performance of your model? Recall False Positive Rate Accuracy True Negative Rate 1 point 8. apple opple apple apple apple apple apple apple Ground Truth apple apple pear apple apple Predict apple pear pear pear pear apple apple Figure 2: Model Predictions for Images Review the table tabeled Figure 2: Model Predictions for images. You trained a model to predict types of fruits in images. The model is tested against 10 images which only include apples in them. The model predictions are recorded in the table, what is the model precision and recall for 'apple class? Precision - 1 and recall - 1 Precision - 1 and recall - 0.5 Precision - 0.5 and recall - 1 Precision - 0.5 and recall - 0.5 1 pole 9 Ground Truth apple apple apple apple apple apple apple apple apple apple Predict apple apple Dear apole Dear apple apple pear pear pear Figure 2: Model Predictions for Images Review the table labeled Figure 2. Model Predictions for Images you trained a model to predict types of fruits in images. The models tested against 10 images which only include apples in them. The model predictions are recorded in the table. What is the model score for the apple dass? (Round your answer to the nearest thousandths place) Enter answer here