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Slot: hasMetrics

The specific performance metrics used to assess models (e.g., accuracy, F1 score, precision, recall).

URI: nexus:hasMetrics

Applicable Classes

Section titled “Applicable Classes”
Name Description Modifies Slot
EveryEvalAIResult An evaluation result from the Every Eval Ever dataset, capturing evaluation m… no
BenchmarkMetadataCard Benchmark metadata cards offer a standardized way to document LLM benchmarks … no

Properties

Section titled “Properties”

Type and Range

Section titled “Type and Range”
Property Value
Range String
Domain Of EveryEvalAIResult, BenchmarkMetadataCard

Cardinality and Requirements

Section titled “Cardinality and Requirements”
Property Value
Multivalued Yes

Identifier and Mapping Information

Section titled “Identifier and Mapping Information”

Schema Source

Section titled “Schema Source”

Mappings

Section titled “Mappings”
Mapping Type Mapped Value
self nexus:hasMetrics
native nexus:hasMetrics

LinkML Source

Section titled “LinkML Source”
name: hasMetrics
description: The specific performance metrics used to assess models (e.g., accuracy,
  F1 score, precision, recall).
from_schema: https://w3id.org/ai-atlas-nexus/ai-risk-ontology
rank: 1000
domain_of:
- EveryEvalAIResult
- BenchmarkMetadataCard
range: string
multivalued: true