AI/ML Quiz

Which of the following ML algorithm is based upon the idea of bagging?

• Decision Tree

• Random Forest

• Classification

• Regression

Which of the following is a supervised learning algorithm?

• Decision Tree

• K-means

• Principal Component Analysis

• Support Vector Machine

What is the purpose of cross-validation in machine learning?

• To train the model

• To test the model on unseen data

• To evaluate the model's performance

• To visualize the data

Which of the following is an ensemble learning technique?

• Linear Regression

• Naive Bayes

• AdaBoost

• K-nearest Neighbors

What is the main purpose of using ensemble learning techniques in machine learning?

• To reduce overfitting and improve model performance

• To increase the complexity of the model

• To decrease the training time

• To simplify the feature selection process

Which evaluation metric is commonly used to assess the performance of classification models in machine learning?

• Mean Squared Error

• Accuracy

• R2 Score

• Root Mean Squared Error

What is the purpose of hyperparameter tuning in machine learning?

• To increase the number of features in the model

• To reduce the complexity of the model

• To optimize the model's performance by selecting the best hyperparameters

• To visualize the data distribution

What is the purpose of feature scaling in machine learning?

• To increase the number of features in the model

• To reduce the complexity of the model

• To normalize the range of features to a similar scale

• To visualize the data distribution

Which of the following is an unsupervised learning algorithm?

• Decision Tree

• K-means

• Principal Component Analysis

• Support Vector Machine

Which of the following ML algorithm is based upon the idea of boosting?

• Decision Tree

• Random Forest

• Classification

• AdaBoost