APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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____ is defined as the percentage of correct predictions out of all the observations.
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Predictions
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Accuracy
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Reality
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F1 Score
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Explanation:
Detailed explanation-1: -Precision: Precision is defined as the percentage of true positive cases versus all the cases where the prediction is true.
Detailed explanation-2: -The equations of calculation of percentage prediction error ( percentage prediction error = measured value-predicted value measured value × 100 or percentage prediction error = predicted value-measured value measured value × 100 ) and similar equations have been widely used.
Detailed explanation-3: -TPR/Sensitivity denotes the percentage/fraction of the positive class that was correctly predicted and classified! It’s also called Recall.
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