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This set of Machine Learning (ML) Multiple Choice Questions & Answers (MCQs) focuses on Machine Learning Set 27

Q1 | Which of the following is true about Residuals ?
Q2 | Which of the following statement is true about outliers in Linear regression?
Q3 | Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?
Q4 | Naive Bayes classifiers are a collection ------------------of algorithms 
Q5 | Naive Bayes classifiers is _______________ Learning
Q6 | Features being classified is independent of each other in Naïve Bayes Classifier
Q7 | Features being classified is __________ of each other in Naïve Bayes Classifier
Q8 | Conditional probability is a measure of the probability of an event given that another event has already occurred.
Q9 | Bayes’ theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
Q10 | Bernoulli Naïve Bayes Classifier is ___________distribution
Q11 | Multinomial Naïve Bayes Classifier is ___________distribution
Q12 | Gaussian Naïve Bayes Classifier is ___________distribution
Q13 | Binarize parameter in BernoulliNB scikit sets threshold for binarizing of sample features.
Q14 | Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the _______ of the feature values.
Q15 | SVMs directly give us the posterior probabilities P(y = 1jx) and P(y = 􀀀1jx)
Q16 | Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.
Q17 | Solving a non linear separation problem with a hard margin Kernelized SVM (Gaussian RBF Kernel) might lead to overfitting
Q18 | SVM is a ------------------ algorithm 
Q19 | SVM is a ------------------ learning
Q20 | The linear SVM classifier works by drawing a straight line between two classes
Q21 | What is Model Selection in Machine Learning?
Q22 | Which are two techniques of Machine Learning ?
Q23 | Even if there are no actual supervisors ________ learning is also based on feedback provided by the environment
Q24 | When it is necessary to allow the model to develop a generalization ability and avoid a common problem called______.
Q25 | Techniques involve the usage of both labeled and unlabeled data is called___.