Q71: What is the name of a regression model in which more than one independent variable is utilized to predict the dependent variable?
(A) a simple linear regression model
(B) a multiple regression models
(C) an independent model
(D) none of the above
Q72: Logistic regression is a ……….. regression technique that is used to model data having a ……….. outcome.
(A) linear, numeric
(B) linear, binary
(C) nonlinear, numeric
(D) nonlinear, binary
Q73: The standard error is defined as the square root of this computation.
(A) The sample variance divided by the total number of sample instances
(B) The population variance divided by the total number of sample instances
(C) The sample variance divided by the sample mean
(D) The population variance divided by the sample mean
Q74: What is Machine learning?
(A) The autonomous acquisition of knowledge through the use of computer programs
(B) The autonomous acquisition of knowledge through the use of manual programs
(C) The selective acquisition of knowledge through the use of computer programs
(D) The selective acquisition of knowledge through the use of manual programs
Q75: Which of the following K values will result in the lowest leave-one-out cross validation accuracy?
(D) All have same leave one out error
Q76: On which of the following would Bayesians and frequentists disagree?
(A) The use of a non-Gaussian noise model in probabilistic regression.
(B) The use of probabilistic modelling for regression.
(C) The use of prior distributions on the parameters in a probabilistic model.
(D) The idea of assuming a probability distribution over models.
Q77: Which of the following factors can aid in the reduction of overfitting in an SVM classifier?
(A) Use of slack variables
(B) High-degree polynomial features
(C) Normalizing the data
(D) Setting a very low learning rate
Q78: What happens when we introduce more variables to a linear regression model?
(A) The r squared value may increase or remain constant, the adjusted r squared may increase or decrease
(B) The r squared may increase or decrease while the adjusted r squared always increases.
(C) Both r square and adjusted r square always increase on the introduction of new variables in the model.
(D) Both might increase or decrease depending on the variables introduced.
Q79: A 1-inch-diameter coin is tossed onto a table with a grid of lines spaced two inches apart. What is the probability that the coin will land inside a square without hitting any of the grid’s lines? You can suppose that the person throwing the coin has no talent and is throwing it at random.
Q80: Which of the following are unsupervised problem?