Machine Learning: Classification Process
24 Questions
2 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the primary goal of unsupervised machine learning?

  • To extract models describing important data classes
  • To classify data into predefined categories
  • To discover hidden patterns in data (correct)
  • To predict continuous-valued functions
  • What is the term for the type of machine learning that involves predicting categorical labels?

  • Regression
  • Classification (correct)
  • Association
  • Clustering
  • What is an example of a multiclass target in classification?

  • Passed or failed
  • Yes or no
  • Low, medium, high (correct)
  • 0 or 1
  • What is the term for the type of machine learning that involves predicting continuous-valued functions?

    <p>Regression</p> Signup and view all the answers

    What is the term for the type of machine learning that involves discovering hidden patterns in data?

    <p>Unsupervised learning</p> Signup and view all the answers

    What is an example of a supervised machine learning problem?

    <p>A bank loans officer wants to analyze data to learn which loan applicants are safe and which are risky</p> Signup and view all the answers

    What is the term for the type of unsupervised learning method that involves grouping similar data points?

    <p>Clustering</p> Signup and view all the answers

    What is an example of a regression problem?

    <p>A marketing manager wants to predict how much a customer will spend during a sale</p> Signup and view all the answers

    What is the primary difference between supervised and unsupervised machine learning?

    <p>The presence or absence of a predetermined objective function</p> Signup and view all the answers

    Which type of machine learning is used for classification and prediction?

    <p>Supervised learning</p> Signup and view all the answers

    What is the purpose of an objective function in supervised machine learning?

    <p>To identify the relationships between dependent and independent variables</p> Signup and view all the answers

    What is the primary task of unsupervised machine learning?

    <p>To identify patterns and relationships in data</p> Signup and view all the answers

    What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?

    <p>Prediction</p> Signup and view all the answers

    Which type of machine learning is used for clustering?

    <p>Unsupervised learning</p> Signup and view all the answers

    What is the role of the knowledge engineer and system designer in supervised machine learning?

    <p>To control the learning process</p> Signup and view all the answers

    What is the primary characteristic of unsupervised machine learning algorithms?

    <p>They do not have a predetermined objective function</p> Signup and view all the answers

    What is another term used to refer to individual rows in the training set during the classification process?

    <p>Samples</p> Signup and view all the answers

    Why might the classifier's performance be overly optimistic if evaluated on the training set?

    <p>Overfitting to the training data</p> Signup and view all the answers

    Which term describes the learning phase where the model builds by analyzing a training set?

    <p>Supervised learning</p> Signup and view all the answers

    In the context of classification, what type of value does the class label attribute have?

    <p>Nominal</p> Signup and view all the answers

    What is the purpose of using a test set in the classification process?

    <p>To estimate predictive accuracy</p> Signup and view all the answers

    Which type of learning involves the provision of class labels for training rows?

    <p>Supervised learning</p> Signup and view all the answers

    What is overfitting in the context of classification models?

    <p>The model adapts too closely to the training set</p> Signup and view all the answers

    Which step occurs after the classifier model has been built in the classification process?

    <p>Model Evaluation</p> Signup and view all the answers

    More Like This

    Use Quizgecko on...
    Browser
    Browser