Classification and Decision Trees Quiz

What is the main goal of classification?

• To group data into clusters

• To predict continuous values

• To assign a class label based on input attributes

• To find patterns in unstructured data

Which of the following are examples of classification tasks? (choose 2)

• Predicting tumor cells as benign or malignant

• Categorizing news stories as finance, weather, entertainment

• Predicting income level based on age

• Calculating the probability of rain

Which technique is a supervised learning method? (choose 2)

• K-means clustering

• Decision tree

• Association rule mining

• Naïve Bayes

What are the common steps in the classification process? (choose 2)

• Model construction

• Model usage

• Model deletion

• Model simulation

Which of the following are attribute selection measures for decision trees? (choose 3)

• Gini index

• Information gain

• Entropy

• Chi-square

Which of the following are types of decision tree algorithms? (choose 3)

• ID3

• C4.5

• CART

• K-nearest neighbor

What does tree pruning help to address in decision tree models?

• Overfitting

• Underfitting

• Data duplication

• Model validation

Which of the following are examples of supervised learning? (choose 3)

• Decision trees

• Clustering

• Neural networks

• Regression

Which of the following terms are related to decision tree structures? (choose 3)

• Root node

• Leaf node

• Splitting

• Reduction in variance

What is the difference between regression and classification? (choose 2)

• Regression predicts continuous values

• Classification predicts categorical labels

• Regression groups data into clusters

• Classification predicts real-valued functions