Which of the following are correct statement(s) about stacking? 1. A machine learning model is trained on predictions of multiple machine learning models 2. A Logistic regression will definitely work better in the second stage as compared to other classification methods 3. First stage models are trained on full / partial feature space of training data

Home / Engineering / Machine Learning (ML) / Question

Mr. Dubey • 51.43K Points
Coach

Q.) Which of the following are correct statement(s) about stacking?
1. A machine learning model is trained on predictions of multiple machine learning models
2. A Logistic regression will definitely work better in the second stage as compared to other classification methods
3. First stage models are trained on full / partial feature space of training data

(A) 1 and 2

(B) 2 and 3

(D) 1,2 and 3

Correct answer : Option (C) - 1 and 3

Discusssion

Related MCQs on Machine Learning (ML)

Q. In a NAND based S’-R’ latch, if S’=1 & R’=1 then the state of the latch is

Q. efficient implementation of basic communication operation can improve

Q. A sum of the variables and their negations in a formula is called _________.

Q. What is the type of inf?

Q. ____________ is an inevitable factor for achieving economic growth.

Q. --------- it include the study like can the work for the project is done with current equipment existing software technology and with available manpower.

Q. During the development phase, the following testing approach is not adopted

Q. A Huffman Code: A = 1, B = 000, C = 001, D = 01, P(A) = 0.4, P(B) = 0.1, P(C) = 0.2, P(D) = 0.3 The Average Number Of Bits Per Letter Is

Q. Which of the following is incorrect with respect to binary trees?

Q. This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration.