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