Question: A team of lecturers develop a classification model to predict students achievements in virtual learning. They want to predict whether a student will obtain an

A team of lecturers develop a classification model to predict students achievements in virtual learning. They want to predict whether a student will obtain an A grade for the subjects that the student is registering in this semester based on their past academic performance. A total of 5,000 students are included in the classification model, where 30% of them are used as the testing data. The classification model shows an accuracy of 85%. What is the total value of true positive and true negative in the testing dataset?

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