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TP(True Positive) is the number of instances correctly classified as positive

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True Negative (TN) is the number of instances incorrectly classified as positive

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False Positive (FP) is the number of instances incorrectly classified as positive

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False Negative (FN) is the number of instances incorrectly classified as negative

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How do you calculate Total Accuracy in a binary classification scenario?

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What is the formula for Sensitivity (Recall) in a binary classification scenario?

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How is Specificity calculated in a binary classification scenario?

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by Shachar Adam
Shachar Adam 0 נקודות · לפני 3 חודשים
מוניטין: 131
נקרא גם True Negative Rate
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by Shachar Adam
Shachar Adam 0 נקודות · לפני 3 חודשים
מוניטין: 131
Specificity is a measure of how good a diagnostic test is at identifying people who are healthy and is calculated by dividing the number of true negatives (TN) by the number of people without disease, i.e. true negatives and false positives (FP): TN/(TN + FP)
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What is the formula for Precision in a binary classification scenario?

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How do you calculate the False Alarm Rate (False Positive Rate) in a binary classification scenario?

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What is the formula for calculating the F-Measure (F1 Score) in a binary classification scenario?

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