ITS665_Chap4

Which of the following is a characteristic of supervised learning?

• Does not require training data

• Focuses on clustering

• Involves labeled data

• Uses unlabeled data

What is the purpose of attribute selection in Decision Trees?

• To visualize the data

• To classify data into clusters

• To determine the best splitting attribute

• To reduce the size of the dataset

Which algorithm is commonly used for Decision Tree induction?

• Support Vector Machines

• Apriori

• Hunt's Algorithm

• K-means

Which of the following is an example of unsupervised learning?

• Naïve Bayes

• Logistic Regression

• K-means Clustering

• Decision Trees

What is the formula for calculating accuracy in classification?

• Correct samples / Total samples

• Total samples / Correct samples

• Correct samples + Total samples

• Total samples - Correct samples

What type of data does supervised learning use?

• Structured data

• Random data

• Labeled data

• Unlabeled data

Which of the following is a continuous attribute?

• Marital Status

• Class

• Refund

• Taxable Income

What does a Decision Tree model output?

• A set of rules

• A single value

• A graph

• A list of attributes

What is the primary goal of classification in data mining?

• Group similar items

• • Predict class labels accurately

• Visualize data

• Normalize data

Which algorithm is NOT associated with supervised learning?

• Decision Tree

• K-Means

• K-Means

• Naïve Bayes