Podcast
Questions and Answers
Which of the following is true about the transformation of categorical features to numerical features in CatBoost?
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?
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?
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?
What does the table below show after the rows in the input file are randomly shuffled several times?
What is the purpose of generating multiple random permutations in CatBoost?
What is the purpose of generating multiple random permutations in CatBoost?
Which stage of transforming categorical features to numerical features assigns numerical values to categorical feature values or feature combination values?
Which stage of transforming categorical features to numerical features assigns numerical values to categorical feature values or feature combination values?
What types of features does CatBoost support?
What types of features does CatBoost support?
What does CatBoost transform categorical features to before each split is selected in the tree?
What does CatBoost transform categorical features to before each split is selected in the tree?
How are categorical features transformed to numerical features in CatBoost?
How are categorical features transformed to numerical features in CatBoost?
What does the table below show after the rows in the input file are randomly shuffled several times?
What does the table below show after the rows in the input file are randomly shuffled several times?
Which formula is used to transform categorical feature values to numerical values?
Which formula is used to transform categorical feature values to numerical values?
What does countInClass represent in the formula?
What does countInClass represent in the formula?
What does prior represent in the formula?
What does prior represent in the formula?
What does totalCount represent in the formula?
What does totalCount represent in the formula?
In the example with musical genres, which values can j accept?
In the example with musical genres, which values can j accept?
What is the value of prior in the example with musical genres?
What is the value of prior in the example with musical genres?
What is the function value for object #3 in the example?
What is the function value for object #3 in the example?
What is the function value for object #5 in the example?
What is the function value for object #5 in the example?
What is the function value for object #7 in the example?
What is the function value for object #7 in the example?
What does one-hot encoding do?
What does one-hot encoding do?
