M

Mr. Dubey • 52.70K Points
Coach 

Q. The output of training process in machine learning is

  • (A) machine learning model
  • (B) machine learning algorithm
  • (C) null
  • (D) accuracy
Explanation by: Mr. Dubey 
The output of the training process in machine learning is:

You must be Logged in to update hint/solution

Discusssion

Login to discuss.

Be the first to start discuss.

Related MCQs on Machine Learning

Q. Which of the following is the difference between stacking and blending?

Q. Which are usually variables that are used internally in object methods and also are globally visible variables?

Q. Generally, an ensemble method works better, if the individual base models have . . . . . . . .? Note: Suppose each individual base models have accuracy greater than 50%.

Q. Cookies were originally designed for

Q. What is the approach of basic algorithm for decision tree induction?

Q. Commons unsupervised applications include

Q. If machine learning model output involves target variable then that model is called as

Q. A database has 5 transactions. Of these, 4 transactions include milk and bread. Further, of the given 4 transactions, 2 transactions include cheese. Find the support percentage for the following association rule "if milk and bread are purchased, then cheese is also purchased".

Q. Suppose that we have N independent variables (X1, X2, Xn) and dependent variable is Y. Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data. You found that correlation coefficient for one of its variable(Say X1) with Y is -0.95. Which of the following is true for X1?

Q. If two variables are correlated, is it necessary that they have a linear relationship?

Learn All Machine Learning MCQs

Question analytics