Slot: Cross-Validated R² (cv_r2)
Cross-validated R² for the model as a whole.
Why this slot matters
The single most comparable headline number for model skill. Without it a consumer cannot weigh this product against an alternative, or decide whether the model is good enough for the health analysis at hand.
In plain terms
A 0-to-1 score of how well the model's predictions matched reality on data it was not trained on — 1 is perfect, 0 is no better than always guessing the average. "Cross-validated" means the test used held-out data, so the score is honest.
URI: envar:slot/cv_r2
Applicable Classes
| Name |
Description |
Modifies Slot |
| ModelAggregateUncertainty |
Whole-model uncertainty summary — cross-validation metrics and the reference ... |
no |
Properties
Type and Range
Cardinality and Requirements
| Property |
Value |
| ### Slot Characteristics |
|
Examples
Annotations
| property |
value |
| justification |
The single most comparable headline number for model skill. Without it a consumer cannot weigh this product against an alternative, or decide whether the model is good enough for the health analysis at hand. |
| explanation |
A 0-to-1 score of how well the model's predictions matched reality on data it was not trained on — 1 is perfect, 0 is no better than always guessing the average. "Cross-validated" means the test used held-out data, so the score is honest. |
Schema Source
Mappings
| Mapping Type |
Mapped Value |
| self |
envar:cv_r2 |
| native |
envar:cv_r2 |
LinkML Source
name: cv_r2
annotations:
justification:
tag: justification
value: The single most comparable headline number for model skill. Without it
a consumer cannot weigh this product against an alternative, or decide whether
the model is good enough for the health analysis at hand.
explanation:
tag: explanation
value: A 0-to-1 score of how well the model's predictions matched reality on data
it was not trained on — 1 is perfect, 0 is no better than always guessing the
average. "Cross-validated" means the test used held-out data, so the score is
honest.
description: Cross-validated R² for the model as a whole.
title: Cross-Validated R²
examples:
- value: '0.86'
description: Di et al. ensemble PM2.5
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
owner: ModelAggregateUncertainty
domain_of:
- ModelAggregateUncertainty
range: float