CatBoost Feature Support Quiz
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Questions and Answers

Which of the following is true about the transformation of categorical features to numerical features in CatBoost?

  • Categorical features are transformed using only statistics on combinations of categorical features
  • Categorical features are transformed using only statistics on combinations of categorical and numerical features
  • Categorical features are transformed using various statistics on combinations of categorical features and combinations of categorical and numerical features (correct)
  • Categorical features are transformed using only statistics on numerical features
  • What can CatBoost create as a new feature when multiple categorical features are combined?

  • A combination of all features in the training set
  • A combination of the listed categorical features (correct)
  • A combination of numerical features
  • A combination of random features
  • What does CatBoost accept as input for transforming categorical features to numerical features in classification?

  • Only model values
  • A set of object properties and model values (correct)
  • Only object properties
  • A set of numerical features
  • What does the table below show after the rows in the input file are randomly shuffled several times?

    <p>The results of the shuffling</p> Signup and view all the answers

    What is the purpose of generating multiple random permutations in CatBoost?

    <p>To shuffle the rows in the input file</p> Signup and view all the answers

    Which stage of transforming categorical features to numerical features assigns numerical values to categorical feature values or feature combination values?

    <p>The stage of transforming categorical features to numerical features</p> Signup and view all the answers

    What types of features does CatBoost support?

    <p>Both categorical and numerical features</p> Signup and view all the answers

    What does CatBoost transform categorical features to before each split is selected in the tree?

    <p>Numerical features</p> Signup and view all the answers

    How are categorical features transformed to numerical features in CatBoost?

    <p>Using various statistics on combinations of categorical features and combinations of categorical and numerical features</p> Signup and view all the answers

    What does the table below show after the rows in the input file are randomly shuffled several times?

    <p>The results of the shuffling</p> Signup and view all the answers

    Which formula is used to transform categorical feature values to numerical values?

    <p>avg_target = rac{countInClass + prior}{totalCount + 1}</p> Signup and view all the answers

    What does countInClass represent in the formula?

    <p>How many times the label value was equal to 1 for objects with the current categorical feature value</p> Signup and view all the answers

    What does prior represent in the formula?

    <p>The preliminary value for the numerator</p> Signup and view all the answers

    What does totalCount represent in the formula?

    <p>The total number of objects (up to the current one) that have a categorical feature value matching the current one</p> Signup and view all the answers

    In the example with musical genres, which values can j accept?

    <p>rock, pop, and indie</p> Signup and view all the answers

    What is the value of prior in the example with musical genres?

    <p>0.05</p> Signup and view all the answers

    What is the function value for object #3 in the example?

    <p>0.025</p> Signup and view all the answers

    What is the function value for object #5 in the example?

    <p>34</p> Signup and view all the answers

    What is the function value for object #7 in the example?

    <p>0.5125</p> Signup and view all the answers

    What does one-hot encoding do?

    <p>It transforms categorical feature values into binary vectors</p> Signup and view all the answers

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