evalml.objectives.Precision

class evalml.objectives.Precision

Precision score for binary classification.

Methods

decision_function	Apply a learned threshold to predicted probabilities to get predicted classes.
objective_function	Computes the relative value of the provided predictions compared to the actual labels, according a specified metric
optimize_threshold	Learn a binary classification threshold which optimizes the current objective.
score	Returns a numerical score indicating performance based on the differences between the predicted and actual values.
validate_inputs	Validates the input based on a few simple checks.