GATE DA Core MSQ MCQs with Answers

GATE DA technical MSQ 6: For matrices A(m×n) and B(n×p), select all correct statements.

A. AB is m×p. B. BA is always defined. C. Matrix multiplication is generally not commutative. D. Computing AB by the standard algorithm uses O(mnp) scalar operations.

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GATE DA technical MSQ 7: Select all correct statements about a confusion matrix for binary classification.

A. Precision is TP/(TP+FP). B. Recall is TP/(TP+FN). C. Accuracy is always suitable for highly imbalanced data. D. Specificity is TN/(TN+FP).

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GATE DA technical MSQ 8: Select all correct statements about gradient descent.

A. The learning rate controls step size. B. A very large learning rate can cause divergence. C. Every non-convex objective has one unique global minimum. D. Feature scaling can improve convergence.

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GATE DA technical MSQ 9: For matrices A(m×n) and B(n×p), select all correct statements.

A. AB is m×p. B. BA is always defined. C. Matrix multiplication is generally not commutative. D. Computing AB by the standard algorithm uses O(mnp) scalar operations.

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GATE DA technical MSQ 10: Select all correct statements about a confusion matrix for binary classification.

A. Precision is TP/(TP+FP). B. Recall is TP/(TP+FN). C. Accuracy is always suitable for highly imbalanced data. D. Specificity is TN/(TN+FP).

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GATE DA technical MSQ 11: Select all correct statements about gradient descent.

A. The learning rate controls step size. B. A very large learning rate can cause divergence. C. Every non-convex objective has one unique global minimum. D. Feature scaling can improve convergence.

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GATE DA technical MSQ 12: For matrices A(m×n) and B(n×p), select all correct statements.

A. AB is m×p. B. BA is always defined. C. Matrix multiplication is generally not commutative. D. Computing AB by the standard algorithm uses O(mnp) scalar operations.

gate-da GATE DA Core MSQ IndiaMedium

GATE DA technical MSQ 13: Select all correct statements about a confusion matrix for binary classification.

A. Precision is TP/(TP+FP). B. Recall is TP/(TP+FN). C. Accuracy is always suitable for highly imbalanced data. D. Specificity is TN/(TN+FP).

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GATE DA technical MSQ 14: Select all correct statements about gradient descent.

A. The learning rate controls step size. B. A very large learning rate can cause divergence. C. Every non-convex objective has one unique global minimum. D. Feature scaling can improve convergence.

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GATE DA technical MSQ 15: For matrices A(m×n) and B(n×p), select all correct statements.

A. AB is m×p. B. BA is always defined. C. Matrix multiplication is generally not commutative. D. Computing AB by the standard algorithm uses O(mnp) scalar operations.

gate-da GATE DA Core MSQ IndiaMedium

GATE DA technical MSQ 1: Select all correct statements about a confusion matrix for binary classification.

A. Precision is TP/(TP+FP). B. Recall is TP/(TP+FN). C. Accuracy is always suitable for highly imbalanced data. D. Specificity is TN/(TN+FP).

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GATE DA technical MSQ 2: Select all correct statements about gradient descent.

A. The learning rate controls step size. B. A very large learning rate can cause divergence. C. Every non-convex objective has one unique global minimum. D. Feature scaling can improve convergence.