CIS 517: Data Mining and Warehousing Chapter 8 - Classification (Part 1)
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Questions and Answers

What is the primary goal of classification?

  • To predict categorical class labels (correct)
  • To identify clusters in the data
  • To predict continuous-valued functions
  • To establish relationships between attributes

    • What is the key difference between supervised and unsupervised learning?

  • Type of data used for training
  • Availability of class labels in the training data (correct)
  • Number of classes in the data
  • Size of the training dataset

    • What is the term for predicting unknown or missing values in a continuous-valued function?

  • Regression analysis (correct)
  • Clustering
  • Decision tree induction
  • Classification

    • What is the purpose of the training set in supervised learning?

    <p>To construct a model for classifying new data</p> Signup and view all the answers

    What type of learning is used when the class labels of the training data are unknown?

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

    What is the classification model used to construct a model based on the values of a classifying attribute?

    <p>Decision tree induction</p> Signup and view all the answers

    What is the primary purpose of data preprocessing in the classification process?

    <p>To reduce noise and handle missing values in the data</p> Signup and view all the answers

    What is the primary goal of the tree pruning phase in decision tree induction?

    <p>To identify and remove branches that reflect noise or outliers</p> Signup and view all the answers

    What is the purpose of relevance analysis in data preparation?

    <p>To remove the irrelevant or redundant attributes</p> Signup and view all the answers

    What is the primary advantage of using decision trees for classification?

    <p>They are easier to interpret and visualize</p> Signup and view all the answers

    What is the purpose of the stopping criterion in the basic algorithm for decision tree induction?

    <p>To determine when to stop partitioning the data</p> Signup and view all the answers

    What is the primary advantage of using neural networks for classification?

    <p>They can learn complex patterns in the data</p> Signup and view all the answers

    What is the primary purpose of evaluating the quality of classification models?

    <p>To determine the accuracy of the model</p> Signup and view all the answers

    What is the primary goal of classification?

    <p>To predict a categorical label</p> Signup and view all the answers

    What is the primary advantage of using support vector machines (SVMs) for classification?

    <p>They can handle high-dimensional data</p> Signup and view all the answers

    What is the primary goal of data transformation in data preparation?

    <p>To generalize and/or normalize the data</p> Signup and view all the answers

    What is the main goal of a decision tree induction algorithm?

    <p>To classify new instances based on the learned model</p> Signup and view all the answers

    What is the primary strategy used in decision tree induction algorithms?

    <p>Greedy strategy</p> Signup and view all the answers

    What is the main issue in determining the best split in decision tree induction?

    <p>All of the above</p> Signup and view all the answers

    What is the name of the decision tree induction algorithm available in WEKA?

    <p>J48</p> Signup and view all the answers

    What is the purpose of the root node in a decision tree?

    <p>To start the process of traversing the tree</p> Signup and view all the answers

    What is the advantage of using a decision tree induction algorithm?

    <p>It can handle both categorical and numerical attributes</p> Signup and view all the answers

    What is the formula to calculate the expected information needed to classify a tuple in D?

    <p>-å pi log 2 ( pi )</p> Signup and view all the answers

    What is the purpose of computing the information gain for each attribute?

    <p>To select the splitting attribute for the decision tree</p> Signup and view all the answers

    Why is the attribute 'age' selected as the splitting attribute?

    <p>Because it has the highest information gain</p> Signup and view all the answers

    What is the unit of measurement for the information gain?

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

    How many distinct classes are there in the training data?

    <p>2</p> Signup and view all the answers

    What is the formula to calculate the information gain for an attribute A?

    <p>Info(D) - InfoA(D)</p> Signup and view all the answers

    What is the primary goal of a classification task?

    <p>To assign a class label to previously unseen records as accurately as possible</p> Signup and view all the answers

    What is the purpose of the test set in classification?

    <p>To validate the accuracy of the classification model</p> Signup and view all the answers

    What is a common representation of a classification model?

    <p>A decision tree or a set of classification rules</p> Signup and view all the answers

    What happens if the test set is not independent of the training set?

    <p>Over-fitting will occur</p> Signup and view all the answers

    What is the purpose of model construction in classification?

    <p>To describe a set of predetermined classes</p> Signup and view all the answers

    How is the accuracy of a classification model typically estimated?

    <p>By comparing the classified result with the known label of the test sample</p> Signup and view all the answers

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