DRV - Deviation of Runoff Volume
\[\text{DRV}(y, \hat{y}) = \frac{ \sum_{i=0}^{N - 1} y_i }{ \sum_{i=0}^{N - 1} \hat{y_i} }\]
Latex equation code:
\text{DRV}(y, \hat{y}) = \frac{ \sum_{i=0}^{N - 1} y_i }{ \sum_{i=0}^{N - 1} \hat{y_i} }
Best possible score is 1.0, smaller value is better. Range = [1, +inf)
Example to use DRV metric:
from numpy import array
from permetrics.regression import RegressionMetric
## For 1-D array
y_true = array([3, -0.5, 2, 7])
y_pred = array([2.5, 0.0, 2, 8])
evaluator = RegressionMetric(y_true, y_pred)
print(evaluator.deviation_of_runoff_volume())
## For > 1-D array
y_true = array([[0.5, 1], [-1, 1], [7, -6]])
y_pred = array([[0, 2], [-1, 2], [8, -5]])
evaluator = RegressionMetric(y_true, y_pred)
print(evaluator.DRV(multi_output="raw_values"))