Machine Learning - Study Mode
[#306] In SVR we try to fit the error within a certain threshold.
Correct Answer
(A) TRUE
(C) TRUE
[#307] 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.
Correct Answer
(C) 1 and 3
(G) 1 and 3
[#308] Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models
Correct Answer
(B) you will have only m features after the first stage
(F) you will have only m features after the first stage
[#309] Type of dataset available in Supervised Learning is
Correct Answer
(B) labeled dataset
(F) labeled dataset
[#310] Another name for an output attribute.
Correct Answer
(B) independent variable
(F) independent variable