24 Questions
What is the primary goal of unsupervised machine learning?
To discover hidden patterns in data
What is the term for the type of machine learning that involves predicting categorical labels?
Classification
What is an example of a multiclass target in classification?
Low, medium, high
What is the term for the type of machine learning that involves predicting continuous-valued functions?
Regression
What is the term for the type of machine learning that involves discovering hidden patterns in data?
Unsupervised learning
What is an example of a supervised machine learning problem?
A bank loans officer wants to analyze data to learn which loan applicants are safe and which are risky
What is the term for the type of unsupervised learning method that involves grouping similar data points?
Clustering
What is an example of a regression problem?
A marketing manager wants to predict how much a customer will spend during a sale
What is the primary difference between supervised and unsupervised machine learning?
The presence or absence of a predetermined objective function
Which type of machine learning is used for classification and prediction?
Supervised learning
What is the purpose of an objective function in supervised machine learning?
To identify the relationships between dependent and independent variables
What is the primary task of unsupervised machine learning?
To identify patterns and relationships in data
What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?
Prediction
Which type of machine learning is used for clustering?
Unsupervised learning
What is the role of the knowledge engineer and system designer in supervised machine learning?
To control the learning process
What is the primary characteristic of unsupervised machine learning algorithms?
They do not have a predetermined objective function
What is another term used to refer to individual rows in the training set during the classification process?
Samples
Why might the classifier's performance be overly optimistic if evaluated on the training set?
Overfitting to the training data
Which term describes the learning phase where the model builds by analyzing a training set?
Supervised learning
In the context of classification, what type of value does the class label attribute have?
Nominal
What is the purpose of using a test set in the classification process?
To estimate predictive accuracy
Which type of learning involves the provision of class labels for training rows?
Supervised learning
What is overfitting in the context of classification models?
The model adapts too closely to the training set
Which step occurs after the classifier model has been built in the classification process?
Model Evaluation
Learn about the classification process in machine learning, including the training phase and class labels. Take this quiz to test your knowledge of the classification process.
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