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Slot: Cross-Validated RMSE (cv_rmse)

Cross-validated RMSE for the model as a whole.

Why this slot matters

R² alone hides how large the errors actually are. RMSE states the typical error in the value's own units, which is what determines whether model error is negligible or fatal for a given effect size.

In plain terms

Root-mean-square error — the typical size of the model's mistakes, in the same units as the value itself (e.g. °C or µg/m³). Smaller is better.

URI: envar:slot/cv_rmse

Applicable Classes

Name Description Modifies Slot
ModelAggregateUncertainty Whole-model uncertainty summary — cross-validation metrics and the reference ... no

Properties

Type and Range

Property Value
Range Float
Domain Of ModelAggregateUncertainty

Cardinality and Requirements

Property Value
### Slot Characteristics
Property Value
Owner ModelAggregateUncertainty

Examples

Value
1.89

Identifier and Mapping Information

Annotations

property value
justification R² alone hides how large the errors actually are. RMSE states the typical error in the value's own units, which is what determines whether model error is negligible or fatal for a given effect size.
explanation Root-mean-square error — the typical size of the model's mistakes, in the same units as the value itself (e.g. °C or µg/m³). Smaller is better.

Schema Source

Mappings

Mapping Type Mapped Value
self envar:cv_rmse
native envar:cv_rmse

LinkML Source

name: cv_rmse
annotations:
  justification:
    tag: justification
    value: R² alone hides how large the errors actually are. RMSE states the typical
      error in the value's own units, which is what determines whether model error
      is negligible or fatal for a given effect size.
  explanation:
    tag: explanation
    value: Root-mean-square error — the typical size of the model's mistakes, in the
      same units as the value itself (e.g. °C or µg/m³). Smaller is better.
description: Cross-validated RMSE for the model as a whole.
title: Cross-Validated RMSE
examples:
- value: '1.89'
  description: Di et al. ensemble PM2.5, in µg/m³ (same model as the cv_r2 example)
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
owner: ModelAggregateUncertainty
domain_of:
- ModelAggregateUncertainty
range: float