Machine Learning - Study Mode
[#291] Increase in size of a convolutional kernel would necessarily increase the performance of a convolutional network.
Correct Answer
(B) FALSE
(D) FALSE
[#292] To control the size of the tree, we need to control the number of regions. One approach to do this would be to split tree nodes only if the resultant decrease in the sum of squares error exceeds some threshold. For the described method, which among the following are true? a. It would, in general, help restrict the size of the trees b. It has the potential to affect the performance of the resultant regression/classification model c. It is computationally infeasible
Correct Answer
(A) a and b
(E) a and b
[#293] Which of the following is the difference between stacking and blending?
Correct Answer
(D) none of these
(H) none of these
[#294] Logistic regression is a . . . . . . . . regression technique that is used to model data having a . . . . . . . . outcome.
Correct Answer
(D) nonlinear, binary
(H) nonlinear, binary
[#295] You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
Correct Answer
(A) supervised learning
(E) supervised learning
Explanation
Solution: In supervised learning, the model is trained on a labeled dataset, where each input (in this case, the Netflix reviews) is associated with a corresponding output label (positive, negative, or neutral). The goal is to teach the model to predict the correct label for new, unseen data based on the patterns it learned from the labeled examples. Supervised learning uses labeled data to train the model, and the model is evaluated based on how accurately it classifies new, unlabeled data. In this case, since the reviews are already labeled as positive, negative, or neutral, this is a typical example of supervised learning.