Online Access Free GMLE Practice Test

Which of the following is a supervised learning algorithm?
Response:

• A.k-means clustering
• B.Principal Component Analysis (PCA)
• C.Support Vector Machine (SVM)
• D.Autoencoders

What is 'cross-validation' in machine learning?
Response:

• A.A strategy for handling missing data
• B.A process for combining predictions from different models
• C.A method for testing the model's performance on unseen data
• D.A technique for tuning hyperparameters

Which of the following are advantages of using Support Vector Machines (SVM) for classification tasks?
(Choose two )
Response:

• A.Performs well with large amounts of missing data
• B.Is highly interpretable and easy to visualize
• C.Works well when there is a clear margin of separation between classes
• D.Effective in high-dimensional spaces

Which techniques are commonly used to evaluate the quality of clustering results?
(Choose two)
Response:

• A.Elbow method
• B.Confusion matrix
• C.ROC curve
• D.Silhouette score

In the context of machine learning, what is 'overfitting'?
Response:

• A.The use of too many features in the model
• B.A condition where the model performs well on the training data but poorly on new, unseen data
• C.A situation where the model is too simple to capture the complexity of the data
• D.The process of training a model with insufficient data