smape¶

smape(y_true: List[Union[float, List[float]]], y_pred: List[Union[float, List[float]]], eps: float = 1e-15) → float[source]¶

Symmetric mean absolute percentage error.

\[SMAPE = \dfrac{100}{n}\sum_{t=1}^{n}\dfrac{|ytrue_{t}-ypred_{t}|}{(|ypred_{t}|+|ytrue_{t}|) / 2}\]

Parameters

y_true (List[Union[float, List[float]]]) –
array-like of shape (n_samples,) or (n_samples, n_outputs)

Ground truth (correct) target values.
y_pred (List[Union[float, List[float]]]) –
array-like of shape (n_samples,) or (n_samples, n_outputs)

Estimated target values.
eps (float=1e-15) – SMAPE is undefined for y_true[i] + y_pred[i] == 0 for any i, so all zeros y_true[i] + y_pred[i] are clipped to max(eps, abs(y_true) + abs(y_pred)).

Returns

A non-negative floating point value (the best value is 0.0).

Return type

float