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