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Question 1) You load an image file into a numpy array and look at its shape,...

Question 1) You load an image file into a numpy array and look at its shape, which is (433, 650, 3). What does this indicate?

A) The image is 433 pixels high by 650 pixels wide and 3 Mb in size.

B) The image is a color (RGB) image that is 433 pixels high by 650 pixels wide.

C) The image is a grayscale image that is 433 pixels high by 650 pixels wide.

D) The image has 433 red pixels, 650 blue pixels, and 3 green pixels.

Question 2)

Confusion Matrix
You evaluate an image classification model and produce the confusion matrix above. What does this tell you about the model when tested with your validation data? (choose two)

A) The model predicted perfectly with 100% accuracy.

B) The model correctly identified planes more accurately than it did automobiles or trains.

C) The model performed worse than random guess.

D) The model sometimes identifies automobiles as trains.

Note: I need an explanation, please!!!!

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Answer #1

Solution Correct answer is B... Numpy is nuncerical python, when an image file is waded into a numpy array, and the print the

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