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Questions and Answers
What is the primary purpose of a Decision Tree?
Which type of problems is a Decision Tree most commonly preferred for solving?
What do Leaf nodes represent in a Decision Tree?
What does the Root node of a Decision Tree represent?
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Which algorithm is commonly used to build a Decision Tree?
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How does a Decision Tree split its branches?
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What type of methods are used as a preprocessing step in feature selection?
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Which statistical test is typically used in filter methods to select features based on their correlation with the outcome variable?
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What does Pearson’s correlation measure between two continuous variables?
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Which method is used to find a linear combination of features that characterizes or separates classes in a categorical variable?
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What does ANOVA stand for and how does it differ from LDA?
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Which method involves finding a linear combination of features by penalizing the absolute size of the regression coefficients?
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What is the main concept behind the Random Forest algorithm?
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In Random Forest, how are final predictions made?
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What does the greater number of trees in a Random Forest lead to?
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What is the purpose of ensemble learning in machine learning?
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Which technique is Random Forest primarily based on?
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What problem does having a large number of trees in a Random Forest help to prevent?
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