get_precision

get_precision(y_true, y_pred)

Calculates the precision of predictions and returns the result. Precision is the proportion of positive predictions that were correct. It answers: “Of all the items we predicted as positive, how many were actually positive?” Precision = True Positives / (True Positives + False Positives).
Scoring is between 0 and 1 with a perfect precision 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 precision score, ranging from 0.0 to 1.0.

Examples

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