9) In supervised learning, the performance of the classifier on the training set is NOT a good indicator ofperformance on an independent test set.10)a) Trueb) Falsehappens when a learning algorithm does not generalize well over unseen data.a) Pruningb) Over-fittingc) Randomizationd) Stratification11) The k-means algorithm is not sensitive to outliers because an instance with an extremely large valuemay not substantially distort the distribution of the dataa) Trueb) False12) Which of the following regarding medoid is NOT true?a) A medoid is the most centrally located object in a clusterb)A medoid is constructed by taking the mean value of the objects in a clusterc)A medoid in a cluster is a real instance13) In recommender systems, usually, implicit feedback comprises afeedback comprises amatrix.a) dense, sparseb) sparse, densematrix, while explicit14) If you are building a recommender system for netflix.com which recommends products leveragingonly explicit ratings, then which algorithm would you use?a) Stochastic Gradient Descentb) Alternating Least Squares15) Which of the following is a limitation of deep learning (DL)?a) DL is not capable of modeling high dimensional and highly non-linear functionsb)DL requires sophisticated feature engineering by expertsc) DL is generally interpretabled)DL is extremely data intensive

Note: As per guidelines I am compelled to solve only one question and that is the first question.…

Answered: 9) In supervised learning, the…

9) In supervised learning, the performance of the classifier on the training set is NOT a good indicator of performance on an independent test set. a) True b) False

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

9) In supervised learning, the performance of the classifier on the training set is NOT a good indicator of
performance on an independent test set.
10)
a) True
b) False
happens when a learning algorithm does not generalize well over unseen data.
a) Pruning
b) Over-fitting
c) Randomization
d) Stratification
11) The k-means algorithm is not sensitive to outliers because an instance with an extremely large value
may not substantially distort the distribution of the data
a) True
b) False
12) Which of the following regarding medoid is NOT true?
a) A medoid is the most centrally located object in a cluster
b)
A medoid is constructed by taking the mean value of the objects in a cluster
c)
A medoid in a cluster is a real instance
13) In recommender systems, usually, implicit feedback comprises a
feedback comprises a
matrix.
a) dense, sparse
b) sparse, dense
matrix, while explicit
14) If you are building a recommender system for netflix.com which recommends products leveraging
only explicit ratings, then which algorithm would you use?
a) Stochastic Gradient Descent
b) Alternating Least Squares
15) Which of the following is a limitation of deep learning (DL)?
a) DL is not capable of modeling high dimensional and highly non-linear functions
b)
DL requires sophisticated feature engineering by experts
c) DL is generally interpretable
d)
DL is extremely data intensive

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