APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following is the definition of accuracy?
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The proportion of actual negatives that are correctly identified
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The closeness of two or more measurements
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The total number of correct predictions made out of all the predictions
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The proportion of actual positives that are correctly identified
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Explanation:
Detailed explanation-1: -A. Precision is a metric that measures the accuracy of positive predictions. It is the number of true positive predictions divided by the number of true positive predictions plus false positive predictions. Recall, on the other hand, measures the completeness of positive predictions.
Detailed explanation-2: -Accuracy is a proportional measure of the number of correct predictions over all predictions. Correct predictions are composed of true positives (TP) and true negatives (TN). All predictions are composed of the entirety of positive (P) and negative (N) examples.
Detailed explanation-3: -The Accuracy score is calculated by dividing the number of correct predictions by the total prediction number.
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