Metrics

The metrics file provides utilities to measure, analyze, and compare the performance of the package's algorithms in a standardized way.

def accuracy_score(...)

def accuracy_score(
    y_true: Union[npt.NDArray, list],
    y_pred: Union[npt.NDArray, list]
) -> float

Function to calculate precision accuracy based on lists of true labels and predicted labels.

Parameters:

• y_true (Union[npt.NDArray, list]): Ground truth (correct) labels. Expected to be of the same length as y_pred.
• y_pred (Union[npt.NDArray, list]): Predicted labels. Expected to be of the same length as y_true.

Returns:

• Accuracy (float): The ratio of correct predictions to the total number of predictions.

Raises:

• ValueError: If y_true or y_pred are empty or if they do not have the same length.

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