18 Questions
2 Views

# Decision Tree Classification Algorithm

Created by

### What is the primary purpose of a Decision Tree?

Representing features of a dataset

### Which type of problems is a Decision Tree most commonly preferred for solving?

Classification problems

### What do Leaf nodes represent in a Decision Tree?

Output of decisions

### What does the Root node of a Decision Tree represent?

<p>Entire dataset</p> Signup and view all the answers

### Which algorithm is commonly used to build a Decision Tree?

<p>CART algorithm</p> Signup and view all the answers

### How does a Decision Tree split its branches?

<p>Based on the test performed on dataset features</p> Signup and view all the answers

### What type of methods are used as a preprocessing step in feature selection?

<p>Filter methods</p> 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?

<p>Chi-squared test</p> Signup and view all the answers

### What does Pearson’s correlation measure between two continuous variables?

<p>Linear dependence</p> 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?

<p>Linear discriminant analysis (LDA)</p> Signup and view all the answers

### What does ANOVA stand for and how does it differ from LDA?

<p>Analysis of variance; Operated using categorical independent features and one continuous dependent feature</p> Signup and view all the answers

### Which method involves finding a linear combination of features by penalizing the absolute size of the regression coefficients?

<p>Lasso regression</p> Signup and view all the answers

### What is the main concept behind the Random Forest algorithm?

<p>Ensemble learning</p> Signup and view all the answers

### In Random Forest, how are final predictions made?

<p>By averaging predictions from multiple decision trees</p> Signup and view all the answers

### What does the greater number of trees in a Random Forest lead to?

<p>Higher accuracy</p> Signup and view all the answers

### What is the purpose of ensemble learning in machine learning?

<p>Combining multiple classifiers to improve model performance</p> Signup and view all the answers

### Which technique is Random Forest primarily based on?

<p>Decision trees</p> Signup and view all the answers

### What problem does having a large number of trees in a Random Forest help to prevent?

<p>Overfitting</p> Signup and view all the answers

## More Quizzes Like This

Use Quizgecko on...
Browser
Information:
Success:
Error: