DSAI2201: Introduction to Machine Learning Algorithms
5 Questions
1 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 a classification problem?

  • To handle outliers in the data
  • To minimize the difference between observed and predicted values
  • To assign accurate labels to new data (correct)
  • To predict a continuous output variable

    • Which regression algorithm is suitable for a binary dependent variable?

  • Logistic Regression (correct)
  • Linear Regression
  • Polynomial Regression
  • Random Forests

    • What is a common issue with regression analysis?

  • Sensitive to outliers (correct)
  • Cannot handle categorical variables
  • Always produces accurate results
  • Requires a large dataset

    • Which algorithm is used for clustering data?

    <p>K-Means</p> Signup and view all the answers

    What is the primary difference between regression and classification problems?

    <p>The type of output variable</p> Signup and view all the answers

    Study Notes

    Machine Learning Algorithms

    • Three main categories of ML algorithms: Classification, Regression, and Clustering
    • Examples of algorithms: Logistic Regression, Linear Regression, K-Means, SVM, Naïve-Bayes, Nearest Neighbor, Decision Trees, Random Forests, and Hidden Markov Model

    Regression Problem

    • Regression analysis models the relationship between a continuous dependent variable and one or more independent variables
    • Goal: find the best-fit line that minimizes the difference between observed and predicted values
    • Regression is sensitive to outliers, which can distort the model
    • Proper handling of outliers is crucial for accuracy and reliability of the regression model

    Classification Problem

    • Classification predicts the category or class of an input based on prior observations, producing discrete labels (e.g., "spam" or "not spam")
    • Goal: assign accurate labels to new data
    • Popular algorithms: logistic regression and decision trees
    • Classification involves input features and class labels (target) in the training dataset

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Description

    This quiz covers various machine learning algorithms, including classification, regression, and clustering techniques. Test your knowledge of logistic regression, linear regression, SVM, and more.

    More Like This

    Mastering Regression Models
    10 questions

    Mastering Regression Models

    RealizableNephrite avatar
    RealizableNephrite
    Supervised Learning Algorithms Overview
    10 questions

    Supervised Learning Algorithms Overview

    ReceptiveAquamarine avatar
    ReceptiveAquamarine
    Popular Regression and Classification Algorithms
    8 questions

    Algorytmy regresji i klasyfikacji w machine learning - quiz i flashcar...

    UnrestrictedAlgorithm avatar
    UnrestrictedAlgorithm
    Linear Regression Quiz
    22 questions

    Linear Regression Quiz

    InexpensiveHeisenberg avatar
    InexpensiveHeisenberg
    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser