pyml.utils.accuracy.BinaryClassAccuracy

class BinaryClassAccuracy

Bases: _Accuracy

Subclass of _Accuracy designed for binary classification models.

Compares predictions and ground truth values to compute accuracy.

Initialize BinaryClassAccuracy instance.

Methods

__init__	Initialize BinaryClassAccuracy instance.
calculate	Calculate accuracy based on predictions and ground truth values.
calculate_accumulated	Calculate accumulated accuracy.
compare	Compare predictions to ground truth values for binary class accuracy.
init	No initialization needed for BinaryClassAccuracy.
reset	Reset variables for accumulated accuracy.

calculate(predictions, y)

Calculate accuracy based on predictions and ground truth values.

Return type:

float

Parameters:

• predictions (numpy.ndarray) – Predicted values.

• y (numpy.ndarray) – Ground truth values.

Returns:

Calculated accuracy.

Return type:

float

calculate_accumulated()

Calculate accumulated accuracy.

Return type:

float

Returns:

Accumulated accuracy.

Return type:

float

compare(predictions, y)

Compare predictions to ground truth values for binary class accuracy.

Return type:

ndarray

Parameters:

• predictions (numpy.ndarray) – Predicted values.

• y (numpy.ndarray) – Ground truth values.

Returns:

Array of comparison results.

Return type:

numpy.ndarray

init(y)

No initialization needed for BinaryClassAccuracy.

Return type:

None

Parameters:

y (numpy.ndarray) – Ground truth values.

reset()

Reset variables for accumulated accuracy.

Return type:

None