31. What is the primary purpose of a validation curve in model evaluation? A. To compare different machine learning algorithms B. To visualize the model's decision boundary C. To measure the model's prediction accuracy D. To assess how model performance varies with hyperparameters Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
32. Which evaluation metric is commonly used for binary classification models and measures the balance between precision and recall? A. Accuracy B. Precision C. F1 Score D. ROC-AUC Score Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
33. What does the term "grid search" refer to in model evaluation and validation? A. The process of evaluating multiple models with different hyperparameters B. The process of dividing data into training and testing sets C. The process of generating synthetic data for training D. The process of fine-tuning a neural network model Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
34. In model evaluation, what is the primary goal of cross-entropy loss or log loss? A. To maximize the margin between classes B. To minimize prediction errors C. To measure the model's prediction accuracy D. To reduce the dimensionality of the dataset Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
35. What is the primary purpose of a learning rate scheduler in training deep neural networks? A. To adjust the learning rate based on model performance B. To increase the model's complexity C. To optimize the loss function D. To reduce the number of layers in the network Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
36. Which metric represents the ratio of true negatives to all actual negatives and is complementary to sensitivity (recall)? A. Specificity B. Precision C. F1 Score D. ROC-AUC Score Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
37. What is the primary advantage of using k-fold cross-validation over a single train-test split in model evaluation? A. K-fold cross-validation prevents data leakage B. K-fold cross-validation reduces computational resources C. K-fold cross-validation reduces model complexity D. K-fold cross-validation requires less training data Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
38. In model evaluation, what is the term for the process of selecting the best-performing model from a group of candidate models? A. Model Optimization B. Model Training C. Model Evaluation D. Model Selection Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
39. Which evaluation metric is commonly used for regression models and measures the proportion of the variance in the dependent variable that is predictable from the independent variables? A. Accuracy B. Mean Absolute Error (MAE) C. Root Mean Square Error (RMSE) D. F1 Score Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
40. What is the primary purpose of early stopping in training deep neural networks? A. To prevent overfitting B. To increase the model's complexity C. To optimize the loss function D. To reduce the number of layers in the network Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
