ML Quiz

Which of the following tasks is an application of machine learning?

• Image recognition

• Predicting stock prices

• Fraud detection

• All of the above

What is the primary purpose of feature engineering in machine learning?

• To reduce the dimensionality of the dataset

• To increase the bias of the model

• To select the most relevant features for the model

• To extract meaningful information from raw data for model training

What is the primary characteristic of supervised learning?

• No labeled data

• Labeled Data

• Unstructured data

• No training phase

Which of the following is an example of supervised learning?

• Image clustering

• Image classification

• Market Basket Analysis

• Dimensionality reduction

In supervised learning, what is used to evaluate the performance of the model?

• Accuracy, precision and recall

• Feature importance

• Clustering Coefficient

• None of the above

What is the purpose of the test set in supervised learning?

• To train the model

• To reduce the training data size

• To evaluate the model's performance

• None of the above

Which task is typically associated with unsupervised learning?

• Classification

• Regression

• Clustering

• None of the above

Which algorithm is often used for clustering in unsupervised learning?

• Decision trees

• K-means

• Support vector machines

• Linear Regression

What is the primary difference between supervised and unsupervised learning?

• Supervised learning requires labeled data, while unsupervised learning does not

• Unsupervised learning requires labeled data, while supervised learning does not

• Supervised learning does not require a model, while unsupervised learning does

• Unsupervised learning does not require a model, while supervised learning does

What is done to choose the best fit line in simple linear regression?

• Maximize the likelihood function

• Maximize the margin

• Minimize the misclassification rate

• Minimize the sum of squared errors