Supervised and Unsupervised Learning Quiz

What is the primary goal of supervised learning?

• To map input data to the correct output label

• To discover hidden patterns in data

• To group similar data points together

• To reduce the number of input features

Which of the following is NOT a common supervised learning algorithm?

• Support Vector Machines

• Decision Trees

• K-means Clustering

• Linear Regression

What is the purpose of the training phase in supervised learning?

• To extract features from the data

• To evaluate the model's performance

• To optimize the mapping function

• To deploy the model into production

Which metric is commonly used to evaluate supervised learning models?

• Clustering Coefficient

• Reconstruction Error

• Silhouette Score

• Accuracy

What is hyperparameter tuning?

• Optimizing the loss function

• Evaluating the model's performance

• Adjusting the model's architecture

• Adjusting the parameters of the algorithm

Which application uses supervised learning for classifying emails?

• Image Classification

• Spam Email Detection

• Anomaly Detection

• Topic Modeling

What is the main task of clustering in unsupervised learning?

• To predict future outcomes

• To group similar data points together

• To classify labeled data

• To evaluate model performance

Which technique is commonly used for dimensionality reduction?

• Support Vector Regression

• K-means Clustering

• Principal Component Analysis (PCA)

• Logistic Regression

What is anomaly detection used for?

• Identifying rare instances in data

• Reducing input features

• Grouping similar items together

• Discovering relationships in data

Which of the following is an example of unsupervised learning?

• Handwritten Digit Recognition

• Credit Risk Assessment

• Market Basket Analysis

• Medical Diagnosis