get_accuracy

get_accuracy(y_true, y_pred)

Calculates the accuracy of predictions and returns the result. Accuracy is the proportion of correct predictions out of all predictions made. It represents the overall correctness of the model. Accuracy = (True Positives + True Negatives) / Total. Scores are between 0 and 1 with a perfect accuracy being 1.

Parameters

Name	Type	Description	Default
y_true	array	The actual observed values (ground truth).	required
y_pred	array	The model predicted values.	required

Returns

Name	Type	Description
	float	The calculated accuracy score, ranging from 0.0 to 1.0.

Examples

>>> # Perfect accuracy
>>> y_true = [0, 1, 1, 0]
>>> y_pred = [0, 1, 1, 0]
>>> get_accuracy(y_true, y_pred)
1.0
>>> # Partial accuracy
>>> y_true = [0, 1, 1, 0]
>>> y_pred = [0, 1, 0, 0]
>>> get_accuracy(y_true, y_pred)
0.75