This question need to solve with Python: Machine learning specialists have built a whale recognition model that allows marine biologists to identify individual whales from aerial photographs. The model was trained on 20000 images, which contains 8000 whale images and 12000 other images. The model classified 7790 whale images and 11700 other images correctly. On the validation set of 2000 images (750 whale images and 1250 other images), the model classified 500 whale images and 995 other images correctly. a. Build confusion matrixes for training and validation set, respectively. Calculate error rate, sensitivity, and specificity for each. b. Comment on the model performance.

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