1. What kind of algorithm is logistic regression? a) Cost function minimizationb) Rankingc) Regressiond) Classification View Answer Answer: D Explanation: Logistic regression is a classification problem. The target variable is categorical (specific…
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Machine Learning MCQs With Answers – “Polynomial Regression”
1. Who coined the term regression? a) Andrey Markovb) Alexey Chervonenkisc) Vladimir Vapnikd) Francis Galton View Answer Answer: D Explanation: Galton introduced the idea of regression in the 19th century. Vapnik and…
Machine Learning MCQs With Answers – “Gradient Descent for Multiple Variables”
1. The cost function is minimized by __________ a) Linear regressionb) Polynomial regressionc) PAC learningd) Gradient descent View Answer Answer: D Explanation: Gradient descent starts with a random value of t0, t1,…
Machine Learning MCQs With Answers – “Multivariate Linear Regression”
1. Multivariate linear regression belongs to which category? a) Neither supervised nor unsupervised learningb) Both supervised and unsupervised learningc) Supervised learningd) Unsupervised learning View Answer Answer: C Explanation: In multivariate linear regression…
Machine Learning MCQs With Answers – “Linear Regression – Gradient Descent”
1. The hypothesis is given by h(x) = t0 + t1x. What are t0 and t1? a) Reduce complexityb) Reduce overfittingc) Maximize cost functiond) Minimize cost function View Answer Answer: D Explanation: …
Machine Learning MCQs With Answers – “Linear Regression – Cost Function”.
1. The hypothesis is given by h(x) = t0 + t1x. What are t0 and t1? a) Value of h(x) when x is 0, intercept along y-axisb) Value of h(x) when x…
Machine Learning MCQs With Answers – “Linear Regression”
1. In which category does linear regression belong to? a) Neither supervised nor unsupervised learningb) Both supervised and unsupervised learningc) Unsupervised learningd) Supervised learning View Answer Answer: D Explanation: In linear regression,…
Machine Learning MCQs With Answers – “Fundamental Theorem of PAC Learning”
1. Any ERM rule is a successful PAC learner for hypothesis space H. a) Trueb) False View Answer Answer: A Explanation: ERM rules try to reduce the hypothesis error on the training…
Machine Learning MCQs With Answers – “Examples of VC-Dimension”
1. Instance space: X = set of real numbers, Hypothesis space H: the set of intervals on the real number line. a and b can be any constants used to represent the…
Machine Learning MCQs With Answers – “VC-Dimension”
1. What does VC dimension do? a) Reduces complexity of hypothesis spaceb) Removes noise from datasetc) Measures complexity of training datasetd) Measures the complexity of hypothesis space H View Answer Answer: D…
Machine Learning MCQs With Answers – Candidate Elimination Algorithm
1. The algorithm is trying to find a suitable day for swimming. What is the most general hypothesis? a) A rainy day is a positive exampleb) A sunny day is a positive…
Machine Learning MCQs With Answers – Find-S Algorithm
1. What is present in the version space of the Find-S algorithm in the beginning? a) Set of all hypotheses Hb) Both maximally general and maximally specific hypothesesc) Maximally general hypothesisd) Maximally…
Machine Learning MCQs With Answers – Version Spaces
1. A Boolean-valued function can be an example of concept learning. a) Trueb) False View Answer Answer: A Explanation: Any function which can describe some concept based on datasets can be part…
Machine Learning MCQs With Answers – PAC Learning
1. Who introduced the concept of PAC learning? a) Francis Galtonb) Reverend Thomas Bayesc) J.Ross Quinland) Leslie Valiant View Answer Answer: D Explanation: Valiant introduced PAC learning. Galton introduced Linear Regression. Quinlan…
Machine Learning MCQs With Answers – Empirical Minimization Framework
1. The true error is available to the learner. a) Trueb) False View Answer Answer: B Explanation: True error is calculated with respect to the probability distribution of the generation of dataset…
