Variables used in formulas
The following common variables are used in formulas of the described metrics:
- is the label value for the i-th object (from the input data for training).
- is the result of applying the model to the i-th object.
- is the predicted success probability
- is the total number of objects.
- is the number of classes.
is the class of the object for binary classification.
- is the weight of the i-th object. It is set in the dataset description in columns with the Weight type (if otherwise is not stated) or in the sample_weight parameter of the Python package. The default is 1 for all objects.
, ,