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Which axes represent the True Positive Rate (TPR) and False Positive Rate (FPR) in the ROC curve, respectively?

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שאלה #131976

		FPR on the Y-axis and TPR on the X-axis.
		FPR on the X-axis and TPR on the Y-axis.
		TPR on the X-axis and FPR on the Y-axis.
done		TPR on the Y-axis and FPR on the X-axis.

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How does the ROC curve help in determining classifier thresholds?

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שאלה #131977

done		By depicting relative tradeoffs between benefits (true positives) and costs (false positives).
		By identifying the dominant class in the dataset.
		By visualizing the distribution of feature values.
		By calculating the area under the curve.

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What does the Area Under the Curve (AUC) represent in the ROC curve?

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שאלה #131978

		The number of true negatives in the dataset.
		The average of true positive and false positive rates.
done		The overall predictive capability of the classifier.
		The threshold value for classifying instances.

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How is the AUC calculated in the ROC curve?

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שאלה #131979

		By counting the total number of instances in the dataset
done		By Ordering the instances according the “positive” class score/probability, iterating over instances, moving "up" for positive class instances and "right" for negative class instances
		By summing the true positive and false positive rates
		By computing the average of true positive and false positive rates for all instances.

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What does the statement "The overall predictive capability of the classifier" refer to in the context of the AUC (Area Under the Curve) calculation?

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שאלה #131980

		The total number of instances correctly classified by the classifier
		The average of true positive and false positive rates
		The ability of the classifier to generalize to unseen data
done		The classifier's performance in distinguishing between positive and negative classes, where larger values of AUC indicate better predictive capability, with a perfect score of 1.0 and random guess or always selecting the dominant class resulting in a score of 0.5.

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Which of the following are common accuracy/error measures used in regression evaluation according to lecture 2?

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שאלה #131981

done		Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared (R^2), Mean Absolute Percentage Error (MAPE).
		True positive rate and false positive rate
		Precision and recall
		Confusion matrix and F1 score

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What is the range of possible values for R-squared (R^2) in regression evaluation?

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שאלה #132037

done		Zero to One
		Minus One To Zero
		One To Two
		Two To Three

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What does the term "Zettabyte Era" refer to?

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שאלה #132038

		An era marked by the widespread use of personal computers.
sentiment_very_satisfied		An era characterized by global IP traffic exceeding 1 zettabyte, equivalent to 1 trillion gigabytes or 10^21 bytes.
		An era where data storage capacity exceeded 1 gigabyte.
		A period in history marked by the introduction of cloud computing.

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Where does the massive amount of data generated in the Zettabyte Era primarily go?

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שאלה #132039

		Personal computers.
		Printed documents.
done		Cloud storage, personal storage devices, and mobile devices.
		Magnetic tapes.

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How is the problem of HDD failure represented from a business perspective?

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שאלה #132040

		Decrease in employee productivity.
		Loss of manufacturing efficiency.
		Increase in advertising costs.
sentiment_very_satisfied		Critical loss of information, potentially leading to significant financial losses for companies.

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