Prediction Basics MCQ Questions with Answers – Page 2 (Latest 2026)

Q51. Which statement about cross-validation is most accurate?

A. Use multiple train/val splits to estimate performance. B. Single split only. C. Pure holdout only. D. Pure bootstrap only.

Select an answer to check.

Answer: Use multiple train/val splits to estimate performance.

Here, Use multiple train/val splits to estimate performance. is the right choice. K-fold common. It aligns directly with what the question asks about which statement about cross-validation is most accurate. Competing choices sound plausible, but they miss the key condition.

Q52. How is cross-validation best characterized?

A. Pure holdout only. B. Use multiple train/val splits to estimate performance. C. Pure bootstrap only. D. Single split only.

Select an answer to check.

Answer: Use multiple train/val splits to estimate performance.

In this case, Use multiple train/val splits to estimate performance. is correct. K-fold common. It aligns directly with what the question asks about how is cross-validation best characterized. Competing choices sound plausible, but they miss the key condition.

Q53. Which option best describes k-fold cross-validation?

A. Bootstrap. B. Single split. C. Average performance across k splits. D. Pure holdout.

Select an answer to check.

Answer: Average performance across k splits.

The best option here is Average performance across k splits.. Robust estimate. It aligns directly with what the question asks about which option best describes k-fold cross-validation. Competing choices sound plausible, but they miss the key condition.

Q54. What is the primary purpose of k-fold cross-validation?

A. Single split. B. Average performance across k splits. C. Pure holdout. D. Bootstrap.

Select an answer to check.

Answer: Average performance across k splits.

For this question, Average performance across k splits. is correct. Robust estimate. It aligns directly with what the question asks about what is the primary purpose of k-fold cross-validation. Competing choices sound plausible, but they miss the key condition.

Q55. Which statement about k-fold cross-validation is most accurate?

A. Average performance across k splits. B. Single split. C. Pure holdout. D. Bootstrap.

Select an answer to check.

Answer: Average performance across k splits.

Average performance across k splits. is the correct answer here. Robust estimate. It aligns directly with what the question asks about which statement about k-fold cross-validation is most accurate. Competing choices sound plausible, but they miss the key condition.

Q56. How is k-fold cross-validation best characterized?

A. Average performance across k splits. B. Single split. C. Bootstrap. D. Pure holdout.

Select an answer to check.

Answer: Average performance across k splits.

Here, Average performance across k splits. is the right choice. Robust estimate. This matches the core idea being tested around how is k-fold cross-validation best characterized. Competing choices sound plausible, but they miss the key condition.

Q57. Which option best describes a confusion matrix?

A. Counts of TP/TN/FP/FN. B. Pure ROC curve. C. Pure accuracy. D. Pure RMSE.

Select an answer to check.

Answer: Counts of TP/TN/FP/FN.

In this case, Counts of TP/TN/FP/FN. is correct. Drives many metrics. This matches the core idea being tested around which option best describes a confusion matrix. Competing choices sound plausible, but they miss the key condition.

Q58. What is the primary purpose of a confusion matrix?

A. Counts of TP/TN/FP/FN. B. Pure ROC curve. C. Pure RMSE. D. Pure accuracy.

Select an answer to check.

Answer: Counts of TP/TN/FP/FN.

The best option here is Counts of TP/TN/FP/FN.. Drives many metrics. This matches the core idea being tested around what is the primary purpose of a confusion. Competing choices sound plausible, but they miss the key condition.

Q59. Which statement about a confusion matrix is most accurate?

A. Counts of TP/TN/FP/FN. B. Pure accuracy. C. Pure ROC curve. D. Pure RMSE.

Select an answer to check.

Answer: Counts of TP/TN/FP/FN.

For this question, Counts of TP/TN/FP/FN. is correct. Drives many metrics. This matches the core idea being tested around which statement about a confusion matrix is most. Competing choices sound plausible, but they miss the key condition.

Q60. How is a confusion matrix best characterized?

A. Pure RMSE. B. Pure ROC curve. C. Pure accuracy. D. Counts of TP/TN/FP/FN.

Select an answer to check.

Answer: Counts of TP/TN/FP/FN.

Counts of TP/TN/FP/FN. is the correct answer here. Drives many metrics. This matches the core idea being tested around how is a confusion matrix best characterized. Competing choices sound plausible, but they miss the key condition.

Q61. Which option best describes accuracy?

A. F1 score. B. Precision. C. Recall. D. Correct predictions / total.

Select an answer to check.

Answer: Correct predictions / total.

Here, Correct predictions / total. is the right choice. Misleading on imbalanced data. That is exactly the concept behind which option best describes accuracy in this context. Competing choices sound plausible, but they miss the key condition.

Q62. What is the primary purpose of accuracy?

A. Recall. B. Precision. C. Correct predictions / total. D. F1 score.

Select an answer to check.

Answer: Correct predictions / total.

In this case, Correct predictions / total. is correct. Misleading on imbalanced data. That is exactly the concept behind what is the primary purpose of accuracy in this context. Competing choices sound plausible, but they miss the key condition.

Q63. Which statement about accuracy is most accurate?

A. Precision. B. Correct predictions / total. C. Recall. D. F1 score.

Select an answer to check.

Answer: Correct predictions / total.

The best option here is Correct predictions / total.. Misleading on imbalanced data. That is exactly the concept behind which statement about accuracy is most accurate in this context. Competing choices sound plausible, but they miss the key condition.

Q64. How is accuracy best characterized?

A. F1 score. B. Correct predictions / total. C. Precision. D. Recall.

Select an answer to check.

Answer: Correct predictions / total.

For this question, Correct predictions / total. is correct. Misleading on imbalanced data. That is exactly the concept behind how is accuracy best characterized in this context. Competing choices sound plausible, but they miss the key condition.

Q65. Which option best describes precision?

A. TP / (TP+FP). B. Recall. C. Accuracy. D. F1.

Select an answer to check.

Answer: TP / (TP+FP).

TP / (TP+FP). is the correct answer here. Few false positives goal. That is exactly the concept behind which option best describes precision in this context. Competing choices sound plausible, but they miss the key condition.

Q66. What is the primary purpose of precision?

A. TP / (TP+FP). B. F1. C. Recall. D. Accuracy.

Select an answer to check.

Answer: TP / (TP+FP).

Here, TP / (TP+FP). is the right choice. Few false positives goal. It fits the requirement in the prompt about what is the primary purpose of precision. Competing choices sound plausible, but they miss the key condition.

Q67. Which statement about precision is most accurate?

A. Accuracy. B. F1. C. TP / (TP+FP). D. Recall.

Select an answer to check.

Answer: TP / (TP+FP).

In this case, TP / (TP+FP). is correct. Few false positives goal. It fits the requirement in the prompt about which statement about precision is most accurate. Competing choices sound plausible, but they miss the key condition.

Q68. How is precision best characterized?

A. Recall. B. TP / (TP+FP). C. F1. D. Accuracy.

Select an answer to check.

Answer: TP / (TP+FP).

The best option here is TP / (TP+FP).. Few false positives goal. It fits the requirement in the prompt about how is precision best characterized. Competing choices sound plausible, but they miss the key condition.

Q69. Which option best describes recall?

A. F1. B. Accuracy. C. TP / (TP+FN). D. Precision.

Select an answer to check.

Answer: TP / (TP+FN).

For this question, TP / (TP+FN). is correct. Few false negatives goal. It fits the requirement in the prompt about which option best describes recall. Competing choices sound plausible, but they miss the key condition.

Q70. What is the primary purpose of recall?

A. F1. B. Accuracy. C. Precision. D. TP / (TP+FN).

Select an answer to check.

Answer: TP / (TP+FN).

TP / (TP+FN). is the correct answer here. Few false negatives goal. It fits the requirement in the prompt about what is the primary purpose of recall. Competing choices sound plausible, but they miss the key condition.

Q71. Which statement about recall is most accurate?

A. F1. B. Accuracy. C. Precision. D. TP / (TP+FN).

Select an answer to check.

Answer: TP / (TP+FN).

Here, TP / (TP+FN). is the right choice. Few false negatives goal. This is the most accurate statement for which statement about recall is most accurate. Competing choices sound plausible, but they miss the key condition.

Q72. How is recall best characterized?

A. Precision. B. F1. C. TP / (TP+FN). D. Accuracy.

Select an answer to check.

Answer: TP / (TP+FN).

In this case, TP / (TP+FN). is correct. Few false negatives goal. This is the most accurate statement for how is recall best characterized. Competing choices sound plausible, but they miss the key condition.

Q73. Which option best describes F1 score?

A. Pure accuracy. B. Pure ROC AUC. C. Pure RMSE. D. Harmonic mean of precision and recall.

Select an answer to check.

Answer: Harmonic mean of precision and recall.

The best option here is Harmonic mean of precision and recall.. Single balanced metric. This is the most accurate statement for which option best describes f1 score. Competing choices sound plausible, but they miss the key condition.

Q74. What is the primary purpose of F1 score?

A. Pure RMSE. B. Pure ROC AUC. C. Harmonic mean of precision and recall. D. Pure accuracy.

Select an answer to check.

Answer: Harmonic mean of precision and recall.

For this question, Harmonic mean of precision and recall. is correct. Single balanced metric. This is the most accurate statement for what is the primary purpose of f1 score. Competing choices sound plausible, but they miss the key condition.

Q75. Which statement about F1 score is most accurate?

A. Harmonic mean of precision and recall. B. Pure RMSE. C. Pure ROC AUC. D. Pure accuracy.

Select an answer to check.

Answer: Harmonic mean of precision and recall.

Harmonic mean of precision and recall. is the correct answer here. Single balanced metric. This is the most accurate statement for which statement about f1 score is most accurate. Competing choices sound plausible, but they miss the key condition.

Q76. How is F1 score best characterized?

A. Pure RMSE. B. Pure ROC AUC. C. Harmonic mean of precision and recall. D. Pure accuracy.

Select an answer to check.

Answer: Harmonic mean of precision and recall.

Here, Harmonic mean of precision and recall. is the right choice. Single balanced metric. It aligns directly with what the question asks about how is f1 score best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q77. Which option best describes ROC AUC?

A. Pure precision. B. Area under ROC curve over thresholds. C. Pure recall. D. Pure accuracy.

Select an answer to check.

Answer: Area under ROC curve over thresholds.

In this case, Area under ROC curve over thresholds. is correct. Threshold-agnostic ranking metric. It aligns directly with what the question asks about which option best describes roc auc. The remaining choices fail because they don’t satisfy the full definition.

Q78. What is the primary purpose of ROC AUC?

A. Pure precision. B. Area under ROC curve over thresholds. C. Pure accuracy. D. Pure recall.

Select an answer to check.

Answer: Area under ROC curve over thresholds.

The best option here is Area under ROC curve over thresholds.. Threshold-agnostic ranking metric. It aligns directly with what the question asks about what is the primary purpose of roc auc. The remaining choices fail because they don’t satisfy the full definition.

Q79. Which statement about ROC AUC is most accurate?

A. Pure accuracy. B. Pure precision. C. Pure recall. D. Area under ROC curve over thresholds.

Select an answer to check.

Answer: Area under ROC curve over thresholds.

For this question, Area under ROC curve over thresholds. is correct. Threshold-agnostic ranking metric. It aligns directly with what the question asks about which statement about roc auc is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q80. How is ROC AUC best characterized?

A. Pure recall. B. Pure accuracy. C. Pure precision. D. Area under ROC curve over thresholds.

Select an answer to check.

Answer: Area under ROC curve over thresholds.

Area under ROC curve over thresholds. is the correct answer here. Threshold-agnostic ranking metric. It aligns directly with what the question asks about how is roc auc best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q81. Which option best describes RMSE?

A. MAE. B. Root mean squared error for regression. C. R^2. D. MAPE.

Select an answer to check.

Answer: Root mean squared error for regression.

Here, Root mean squared error for regression. is the right choice. Penalizes large errors. This matches the core idea being tested around which option best describes rmse. The remaining choices fail because they don’t satisfy the full definition.

Q82. What is the primary purpose of RMSE?

A. MAPE. B. MAE. C. Root mean squared error for regression. D. R^2.

Select an answer to check.

Answer: Root mean squared error for regression.

In this case, Root mean squared error for regression. is correct. Penalizes large errors. This matches the core idea being tested around what is the primary purpose of rmse. The remaining choices fail because they don’t satisfy the full definition.

Q83. Which statement about RMSE is most accurate?

A. MAPE. B. Root mean squared error for regression. C. MAE. D. R^2.

Select an answer to check.

Answer: Root mean squared error for regression.

The best option here is Root mean squared error for regression.. Penalizes large errors. This matches the core idea being tested around which statement about rmse is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q84. How is RMSE best characterized?

A. MAE. B. R^2. C. MAPE. D. Root mean squared error for regression.

Select an answer to check.

Answer: Root mean squared error for regression.

For this question, Root mean squared error for regression. is correct. Penalizes large errors. This matches the core idea being tested around how is rmse best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q85. Which option best describes MAE?

A. MAPE. B. Mean absolute error. C. R^2. D. RMSE.

Select an answer to check.

Answer: Mean absolute error.

Mean absolute error. is the correct answer here. Robust to outliers. This matches the core idea being tested around which option best describes mae. The remaining choices fail because they don’t satisfy the full definition.

Q86. What is the primary purpose of MAE?

A. MAPE. B. Mean absolute error. C. R^2. D. RMSE.

Select an answer to check.

Answer: Mean absolute error.

Here, Mean absolute error. is the right choice. Robust to outliers. That is exactly the concept behind what is the primary purpose of mae in this context. The remaining choices fail because they don’t satisfy the full definition.

Q87. Which statement about MAE is most accurate?

A. MAPE. B. RMSE. C. R^2. D. Mean absolute error.

Select an answer to check.

Answer: Mean absolute error.

In this case, Mean absolute error. is correct. Robust to outliers. That is exactly the concept behind which statement about mae is most accurate in this context. The remaining choices fail because they don’t satisfy the full definition.

Q88. How is MAE best characterized?

A. RMSE. B. Mean absolute error. C. MAPE. D. R^2.

Select an answer to check.

Answer: Mean absolute error.

The best option here is Mean absolute error.. Robust to outliers. That is exactly the concept behind how is mae best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.

Q89. Which option best describes R^2?

A. MAPE. B. MAE. C. Proportion of variance explained. D. RMSE.

Select an answer to check.

Answer: Proportion of variance explained.

For this question, Proportion of variance explained. is correct. Scale-free regression metric. That is exactly the concept behind which option best describes r^2 in this context. The remaining choices fail because they don’t satisfy the full definition.

Q90. What is the primary purpose of R^2?

A. Proportion of variance explained. B. MAPE. C. MAE. D. RMSE.

Select an answer to check.

Answer: Proportion of variance explained.

Proportion of variance explained. is the correct answer here. Scale-free regression metric. That is exactly the concept behind what is the primary purpose of r^2 in this context. The remaining choices fail because they don’t satisfy the full definition.

Q91. Which statement about R^2 is most accurate?

A. RMSE. B. Proportion of variance explained. C. MAE. D. MAPE.

Select an answer to check.

Answer: Proportion of variance explained.

Here, Proportion of variance explained. is the right choice. Scale-free regression metric. It fits the requirement in the prompt about which statement about r^2 is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q92. How is R^2 best characterized?

A. MAE. B. Proportion of variance explained. C. RMSE. D. MAPE.

Select an answer to check.

Answer: Proportion of variance explained.

In this case, Proportion of variance explained. is correct. Scale-free regression metric. It fits the requirement in the prompt about how is r^2 best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q93. Which option best describes a baseline model?

A. Pure heuristic only. B. Simple model to compare against. C. Pure ensemble only. D. Pure final model.

Select an answer to check.

Answer: Simple model to compare against.

The best option here is Simple model to compare against.. Sanity check. It fits the requirement in the prompt about which option best describes a baseline model. The remaining choices fail because they don’t satisfy the full definition.

Q94. What is the primary purpose of a baseline model?

A. Pure heuristic only. B. Simple model to compare against. C. Pure ensemble only. D. Pure final model.

Select an answer to check.

Answer: Simple model to compare against.

For this question, Simple model to compare against. is correct. Sanity check. It fits the requirement in the prompt about what is the primary purpose of a baseline. The remaining choices fail because they don’t satisfy the full definition.

Q95. Which statement about a baseline model is most accurate?

A. Simple model to compare against. B. Pure heuristic only. C. Pure final model. D. Pure ensemble only.

Select an answer to check.

Answer: Simple model to compare against.

Simple model to compare against. is the correct answer here. Sanity check. It fits the requirement in the prompt about which statement about a baseline model is most. The remaining choices fail because they don’t satisfy the full definition.

Q96. How is a baseline model best characterized?

A. Pure heuristic only. B. Pure ensemble only. C. Pure final model. D. Simple model to compare against.

Select an answer to check.

Answer: Simple model to compare against.

Here, Simple model to compare against. is the right choice. Sanity check. This is the most accurate statement for how is a baseline model best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q97. Which option best describes data leakage?

A. Pure normalization. B. Pure underfitting only. C. Pure overfitting only. D. Test info leaks into training.

Select an answer to check.

Answer: Test info leaks into training.

In this case, Test info leaks into training. is correct. Avoid via careful splits. This is the most accurate statement for which option best describes data leakage. The remaining choices fail because they don’t satisfy the full definition.

Q98. What is the primary purpose of data leakage?

A. Pure underfitting only. B. Pure normalization. C. Pure overfitting only. D. Test info leaks into training.

Select an answer to check.

Answer: Test info leaks into training.

The best option here is Test info leaks into training.. Avoid via careful splits. This is the most accurate statement for what is the primary purpose of data leakage. The remaining choices fail because they don’t satisfy the full definition.

Q99. Which statement about data leakage is most accurate?

A. Pure overfitting only. B. Test info leaks into training. C. Pure normalization. D. Pure underfitting only.

Select an answer to check.

Answer: Test info leaks into training.

For this question, Test info leaks into training. is correct. Avoid via careful splits. This is the most accurate statement for which statement about data leakage is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q100. How is data leakage best characterized?

A. Pure overfitting only. B. Pure underfitting only. C. Pure normalization. D. Test info leaks into training.

Select an answer to check.

Answer: Test info leaks into training.

Test info leaks into training. is the correct answer here. Avoid via careful splits. This is the most accurate statement for how is data leakage best characterized. The remaining choices fail because they don’t satisfy the full definition.