GATE DA technical MSQ 15: For matrices A(m×n) and B(n×p), select all correct statements.
Correct Answer: A|C|D
Explanation:
BA requires p=m.
MCQ Collection
gate-da MCQs
Practice gate-da questions with answers and explanations.
GATE DA technical MSQ 6: For matrices A(m×n) and B(n×p), select all correct statements.
Correct Answer: A|C|D
Explanation:
BA requires p=m.
GATE DA technical MSQ 7: Select all correct statements about a confusion matrix for binary classification.
Correct Answer: A|B|D
Explanation:
Accuracy can be misleading under severe imbalance.
GATE DA technical MSQ 8: Select all correct statements about gradient descent.
Correct Answer: A|B|D
Explanation:
Non-convex objectives may have many local features.
GATE DA Core item 128: Which loss is commonly used for binary classification?
Choose an option to check your answer.
Correct Answer: A. Binary cross-entropy
Explanation:
Binary cross-entropy matches Bernoulli likelihood.
GATE DA Core item 129: Overfitting means a model performs well on training data but poorly on what?
Choose an option to check your answer.
Correct Answer: D. Unseen data
Explanation:
Overfitting harms generalisation.
GATE DA Core item 130: Which loss is commonly used for binary classification?
Choose an option to check your answer.
Correct Answer: A. Binary cross-entropy
Explanation:
Binary cross-entropy matches Bernoulli likelihood.
GATE DA Core item 131: Overfitting means a model performs well on training data but poorly on what?
Choose an option to check your answer.
Correct Answer: B. Unseen data
Explanation:
Overfitting harms generalisation.
GATE DA Core item 132: Which loss is commonly used for binary classification?
Choose an option to check your answer.
Correct Answer: C. Binary cross-entropy
Explanation:
Binary cross-entropy matches Bernoulli likelihood.
GATE DA Core item 133: Overfitting means a model performs well on training data but poorly on what?
Choose an option to check your answer.
Correct Answer: A. Unseen data
Explanation:
Overfitting harms generalisation.
GATE DA Core item 134: Which loss is commonly used for binary classification?
Choose an option to check your answer.
Correct Answer: B. Binary cross-entropy
Explanation:
Binary cross-entropy matches Bernoulli likelihood.
GATE DA Core item 135: Overfitting means a model performs well on training data but poorly on what?
Choose an option to check your answer.
Correct Answer: B. Unseen data
Explanation:
Overfitting harms generalisation.