Machine Learning › Gradient Descent › Question #5451
MCQ Single Best Answer Easy

QThe objective function for linear regression is also known as Cost Function.

ID: #5451 Gradient Descent 249 views
Question Info
#5451Q ID
EasyDifficulty
Gradient DescentTopic
Start Quiz on This Topic
 Your Answer

Choose the Best Option

Click any option to instantly check if you're correct.

  • A False ✔ ✖
  • B True ✔ ✖
Correct Answer: Option B

Explanation

True
 Continue Practice
Previous Question Next Question
 Share

Share This Question

Challenge a friend or share with your study group.

 More from This Topic

Related MCQ Questions

For an underfit data set, the training and the cross-validation error will be high. What is the advantage of using an iterative algorithm like gradient descent ? (select the best) Problems, where discrete-valued outputs are predicted, are called? ____________ controls the magnitude of a step taken during Gradient Descent. How are the parameters updated during Gradient Descent process? Problems that predict real values outputs are called __________ ____________ measures how far the predictions are from the actual values. For ____________, the error is determined by getting the proportion of values misclassified by the model. For ____________, the error is calculated by finding the sum of squared distance between actual and predicted Classification problems with just two classes are called Binary classification problems.