pearson_cc()

audmetric.pearson_cc(truth, prediction)

Pearson correlation coefficient.

$$\rho = \frac{\text{cov}(\text{prediction}, \text{truth})}{ \sigma_\text{prediction}\sigma_\text{truth}}$$

where $\sigma$ is the standard deviation, and $\text{cov}$ is the covariance.

Parameters:

• truth (Sequence[float]) – ground truth values

• prediction (Sequence[float]) – predicted values

Return type:

float

Returns:

pearson correlation coefficient $\in [-1, 1]$

Raises:

ValueError – if truth and prediction differ in length

Examples

>>> pearson_cc([0, 1, 2], [0, 1, 1])
0.8660254037844385