pyml.utils.accuracy.MultiClassAccuracy

class MultiClassAccuracy

Bases: _Accuracy

Subclass of _Accuracy specifically for multi-class classification models.

Implements methods to compare predictions and ground truth values for accuracy calculation.

Initialize MultiClassAccuracy instance.

Methods

__init__	Initialize MultiClassAccuracy instance.
calculate	Calculate accuracy based on predictions and ground truth values.
calculate_accumulated	Calculate accumulated accuracy.
compare	Compare predictions to ground truth values for multi-class accuracy.
init	No initialization needed for MultiClassAccuracy.
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 multi-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 MultiClassAccuracy.

Return type:

None

Parameters:

y (numpy.ndarray) – Ground truth values.

reset()

Reset variables for accumulated accuracy.

Return type:

None