inclination_index¶
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probnumeval.multivariate.inclination_index(approximate_solution, reference_solution)[source]¶ Compute the inclination index (II).
The II is a version of the NCI that additionally indicates whether an estimate is
Underconfident if \(\text{II} < 0\) holds. The estimated error is way larger than the actual error.
Overconfident if \(\text{II} > 0\) holds. The estimated error is way smaller than the actual error.
- Parameters
- Returns
- Return type
Inclination index.
See also
anees()An alternative calibration measure.
non_credibility_index()Non-credibility index.