Question

Performance Metrics: Which of the following are terms used for performance metrics a. Specificity & Precision b. Precision & Recall c. Recall & Sensitivity d. band e All of the above 9. Performance Metrics: When looking at the ROC/AUC curve, what are the values being compared represented on the x-axis and y-axis? a. False Positive Rate and True Positive Rate b. Precision and True Positive Rate c. False Positive Rate and Precision d. True Positive Rate and Specificity e. None of the above 50. Performance Metrics: If a model has an unclear precision or recall value, what can be used to determine if the model is good or not? a. Specificity b. True Positive Rate c F1 Score Sensitivity e. None of the above while Lasso Regression is represented as 51. Ridge Regression is represented as a. L3/L2 b. L1/L2 1/13 d L2/L1 52. Which of the following statements are true regarding Ridge Regression? a. Penalty shrinks magnitude of all coefficients b. Larger coefficients are strongly penalized because of the squaring Penalty selectively shrinks some coefficients d. A and B e. All of the above 53. Which of the following statements are true regarding Lasso Regression? a. It can be used for feature selection b. It is slower to converge compared to Ridge Regression c. Penalty selectively shrinks some coefficients d Band e All of the above 54. A key difference between Lasso and Ridge regression is that Lasso regression allows you to: a Gives only one solution b. Use a learning rate Perform feature selection d. Use a non-greedy approach e. None of the above

Answer 1

1. Performance matrics : which of the following are terms used for performace matrics

answer : option e. All the above

2. Performance matrics : when looking at ROC/AUC curve, what are the values being compared represented on the x-axis and y-axis

answer : option a . False Positive Rate and True Positive Rate

3. Performance Matrics : If a model has an unclear precision or recall value, what can be used to determine the model is good or not?
Answer : Option c. F1 score

4. Ridge Regression is represented as___ while Lesso Regression is represented as ___
Answer Option d. L2/L1

5. Which of the following statement are ture regarding Ridge Regression?
Answer Option c. Penalty selectively shrinks some coefficients.

6. Which of the following statement are ture regarding Lasso Regression?
Answer Option e. All of the above

7. A key difference between Lasso and Ridge regression is that Lasso regression allows you to.
Answer Option c. Perform feature selection

8. What are different ways to train and test data?

Answer Option e. All of the above

9. what can go wrong is you tune hyperparameters using the test set?
Answer . Option c Can lead to overfitting the test set and the generalization error measured will be accurate.

10. what does the K represents in K-fold cross validation?
Answer Option a. Divide data into K parts

11. In performance metrics what does "accuracy" means?
Answer Option e. None of the above.

12.  Logistics Regression can be applied for binary classification or multiclass classification?
Answer. Option a True

13.  Performance Metrics: What is accuracy?
Answer. Option a The rate of all true positives and true negatives over all the data.

14. Performance metrics: What is a good AUC score?
Answer Option d. 0.9