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Class: MissingFeaturesBias

Bias that occurs when features are missing from individual training

samples

URI: ai:MissingFeaturesBias

 classDiagram
    class MissingFeaturesBias
    click MissingFeaturesBias href "../MissingFeaturesBias/"
      AiDataBias <|-- MissingFeaturesBias
        click AiDataBias href "../AiDataBias/"

Inheritance

Class Properties

Property Value
Class URI ai:MissingFeaturesBias

Slots

Name Cardinality and Range Description Inheritance

In Subsets

Aliases

  • Missing Features Bias

Comments

  • If the frequency of missing features is higher for one group than another then this presents another vector for bias

Identifier and Mapping Information

Annotations

property value
dct_source ISO/IEC 24027:2021
upstream_iri https://w3id.org/dpv/ai/owl#MissingFeaturesBias
dpv_extension_slug ai

Schema Source

Mappings

Mapping Type Mapped Value
self ai:MissingFeaturesBias
native ai:MissingFeaturesBias
exact dpv_ai:MissingFeaturesBias, dpv_ai_owl:MissingFeaturesBias

LinkML Source

Direct

name: MissingFeaturesBias
annotations:
  dct_source:
    tag: dct_source
    value: ISO/IEC 24027:2021
  upstream_iri:
    tag: upstream_iri
    value: https://w3id.org/dpv/ai/owl#MissingFeaturesBias
  dpv_extension_slug:
    tag: dpv_extension_slug
    value: ai
description: 'Bias that occurs when features are missing from individual training

  samples'
comments:
- 'If the frequency of missing features is higher for one group than

  another then this presents another vector for bias'
in_subset:
- ai_risks_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Missing Features Bias
exact_mappings:
- dpv_ai:MissingFeaturesBias
- dpv_ai_owl:MissingFeaturesBias
is_a: AiDataBias
class_uri: ai:MissingFeaturesBias

Induced

name: MissingFeaturesBias
annotations:
  dct_source:
    tag: dct_source
    value: ISO/IEC 24027:2021
  upstream_iri:
    tag: upstream_iri
    value: https://w3id.org/dpv/ai/owl#MissingFeaturesBias
  dpv_extension_slug:
    tag: dpv_extension_slug
    value: ai
description: 'Bias that occurs when features are missing from individual training

  samples'
comments:
- 'If the frequency of missing features is higher for one group than

  another then this presents another vector for bias'
in_subset:
- ai_risks_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Missing Features Bias
exact_mappings:
- dpv_ai:MissingFeaturesBias
- dpv_ai_owl:MissingFeaturesBias
is_a: AiDataBias
class_uri: ai:MissingFeaturesBias