WorksheetsSTSCI 3740: Lecture 1
Total questions: 10
Worksheet time: 5mins
What is the primary goal of supervised learning?
To predict or estimate an output based on input data
To visualize data in a 2D space
To reduce the number of features
To find groups of samples that behave similarly
Which method is used to predict categorical or qualitative outcomes?
Linear regression
Principal Component Analysis
Classification
Clustering
Which of the following is an example of an unsupervised learning problem?
Predicting wages based on age and education
Predicting whether the S&P 500 index will increase or decrease
Grouping customers based on demographic data
Predicting future stock prices
What is the goal of Principal Component Analysis (PCA) in the context of gene expression data?
To reduce the number of gene expression for visualization
To perform linear regression
To predict future gene expressions
To classify cancer types
Which of the following statements is true about linear regression?
It is a non-linear method
It is used for predicting qualitative values
It is used for predicting quantitative values
It was developed in the early 1970s
What is the main difference between regression and classification problems?
Regression uses PCA, while classification uses clustering
Regression is a type of unsupervised learning, while classification is supervised
Regression predicts continuous outputs, while classification predicts categorical outcomes
Regression is used for gene expression data, while classification is used for stock market data
Which of the following is a key aspect of statistical learning?
It includes both supervised and unsupervised learning methods
It is not useful in finance
It only involves linear methods
The more complicated is a method the better it performs
What is the purpose of model selection in supervised learning?
To reduce the number of features
To group similar samples
To visualize data in a 2D space
To find the best model for the outcome or which inputs affect the outcome
Which of the following is an example of a regression problem ?
Grouping customers based on purchasing behaviour
Classifying emails as spam or not
Predicting wages based on age and education
Predicting whether a stock will up or down
What is the main goal of unsupervised learning ?
Find groups or clusters within the data
Select the best model for prediction
Predict future outcomes
Estimate the effect of inputs on outcomes
