ml_quiz

1. Which of the following is an example of supervised learning, unsupervised learning? (Supervised learning, unsupervised learning)

• A. Classification, Regression
• B. Regression, Clustering
• C. Classification, Reinforcement learning
• D. Clustering, Classification

2. Which of the following is an example of a neural network architecture commonly used for image recognition tasks?

• A. Decision tree
• B. K-means clustering
• C. Convolutional neural network
• D. Naive Bayes

3. Which of the following techniques is used for feature selection in machine learning?

• A. Principal component analysis
• B. Regression analysis
• C. Logistic regression
• D. Support vector machine

4. Which of the following is a measure of the quality of a clustering algorithm?

• A. Silhouette coefficient
• B. Precision
• C. Recall
• D. F1 score

5. Which of the following algorithms is used for reinforcement learning?

• A. K-means clustering
• B. Random forest
• C. Q-learning
• D. Logistic regression

6. Which of the following is a method for reducing overfitting in a machine learning model?

• A. Adding more layers to the model
• B. Decreasing the learning rate
• C. Increasing the number of epochs
• D. Adding regularization

7. Which of the following is a technique used for imbalanced classification problems?

• A. SMOTE
• B. Ridge regression
• C. Naive Bayes
• D. AdaBoost

8. Which of the following is a technique used for handling missing data in a dataset?

• A. Mean imputation
• B. Median imputation
• C. Regression imputation
• D. All of the above
• Option 5

9. Which of the following is a technique used for reducing the dimensionality of a dataset?

• A. Regularization
• B. Principal component analysis
• C. Gradient descent
• D. Random forest

10. Which of the following is a measure of the quality of a classification algorithm?

• A. Silhouette coefficient
• B. Precision
• C. Recall
• D. F1 score