20 Questions
Which of the following is true about the transformation of categorical features to numerical features in CatBoost?
Categorical features are transformed using various statistics on combinations of categorical features and combinations of categorical and numerical features
What can CatBoost create as a new feature when multiple categorical features are combined?
A combination of the listed categorical features
What does CatBoost accept as input for transforming categorical features to numerical features in classification?
A set of object properties and model values
What does the table below show after the rows in the input file are randomly shuffled several times?
The results of the shuffling
What is the purpose of generating multiple random permutations in CatBoost?
To shuffle the rows in the input file
Which stage of transforming categorical features to numerical features assigns numerical values to categorical feature values or feature combination values?
The stage of transforming categorical features to numerical features
What types of features does CatBoost support?
Both categorical and numerical features
What does CatBoost transform categorical features to before each split is selected in the tree?
Numerical features
How are categorical features transformed to numerical features in CatBoost?
Using various statistics on combinations of categorical features and combinations of categorical and numerical features
What does the table below show after the rows in the input file are randomly shuffled several times?
The results of the shuffling
Which formula is used to transform categorical feature values to numerical values?
avg_target = rac{countInClass + prior}{totalCount + 1}
What does countInClass represent in the formula?
How many times the label value was equal to 1 for objects with the current categorical feature value
What does prior represent in the formula?
The preliminary value for the numerator
What does totalCount represent in the formula?
The total number of objects (up to the current one) that have a categorical feature value matching the current one
In the example with musical genres, which values can j accept?
rock, pop, and indie
What is the value of prior in the example with musical genres?
0.05
What is the function value for object #3 in the example?
0.025
What is the function value for object #5 in the example?
34
What is the function value for object #7 in the example?
0.5125
What does one-hot encoding do?
It transforms categorical feature values into binary vectors
Test your knowledge on CatBoost's support for various types of features, including categorical features and numerical features. Learn about the method of transforming categorical features to numerical in this informative quiz.
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