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3. A machine learning model is trained to predict whether a given image contains a certain object or not. The model has an accuracy of 90%, a false positive rate of 5%, and a false negative rate of 8%. If 20% of the images in the dataset contain the object, what is the probability that an image identified as containing the object by the model actually contains the object?.

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3. A machine learning model is trained to predict whether a given image contains a certain object or not. The model has an accuracy of 90%, a false positive rate of 5%, and a false negative rate of 8%. If 20% of the images in the dataset contain the object, what is the probability that an image identified as containing the object by the model actually contains the object?.

- 1. 3. A machine learning model is trained to predict whether a given image contains a certain object or not. The model has an accuracy of 90%, a false positive rate of 5%, and a false negative rate of 8%. If 20% of the images in the dataset contain the object, what is the probability that an image identified as containing the object by the model actually contains the object?