# Naive bayes classifier,random forest,decision tree classifier in machine learning mcq -01.02.24

## Quiz by Anitha PSGRKCW

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11 questions

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- Q1Which of the following machine learning algorithms is based on the principle of Bagging?Random ForestDecision Tree ClassifierNaive Bayes ClassifierSupport Vector Machine30s
- Q2Which classifier applies Bayes’ theorem with the 'naive' assumption of conditional independence between every pair of a given set of features?Decision Tree ClassifierRandom ForestNaive Bayes ClassifierK-Nearest Neighbors30s
- Q3Which of the following machine learning algorithms is based on the law of conditional probability?Random ForestNaive Bayes ClassifierDecision Tree ClassifierK-Nearest Neighbor30s
- Q4Which machine learning model creates a model that predicts the value of a target variable by learning simple decision rules inferred from the data features?Decision Tree ClassifierRandom ForestK-Nearest NeighborNaive Bayes Classifier30s
- Q5Which machine learning algorithm creates different trees and every decision tree has a vote in the final decision?Support Vector MachineDecision Tree ClassifierRandom ForestNaive Bayes Classifier30s
- Q6In the context of machine learning, which of the following models assumes that the predictors have an equal effect on the outcome?Decision Tree ClassifierRandom ForestSupport Vector MachineNaive Bayes Classifier30s
- Q7Which of the following machine learning algorithms makes decisions based on entropy and information gain?Support Vector MachineNaive Bayes ClassifierDecision Tree ClassifierRandom Forest30s
- Q8Which machine learning algorithm, despite its simplicity, can outperform other complex algorithms in the case of text classification problems?Decision Tree ClassifierSupport Vector MachineNaive Bayes ClassifierRandom Forest30s
- Q9Which machine learning algorithm would be the most appropriate if prior probabilities are important for class prediction?Random ForestNaive Bayes ClassifierSupport Vector MachineDecision Tree Classifier30s
- Q10Which algorithm tends to overfit when dealing with noisy or complex data?Random ForestNaive Bayes ClassifierDecision Tree ClassifierLinear Regression30s
- Q11Which algorithm generates a multitude of decision trees at the time of training and outputs the class with the highest mode from these trees?Random ForestNaive Bayes ClassifierDecision Tree ClassifierLogistic Regression30s