Class: PerformanceMetrics

General performance metrics

URI: revaise:PerformanceMetrics

```mermaid classDiagram class PerformanceMetrics click PerformanceMetrics href "../PerformanceMetrics/" PerformanceMetrics <|-- AIPerformanceMetrics click AIPerformanceMetrics href "../AIPerformanceMetrics/"

  PerformanceMetrics : accuracy

  PerformanceMetrics : area_under_curve

  PerformanceMetrics : balanced_accuracy

  PerformanceMetrics : diagnostic_odds_ratio

  PerformanceMetrics : f1_score

  PerformanceMetrics : false_discovery_rate

  PerformanceMetrics : false_negative_rate

  PerformanceMetrics : false_omission_rate

  PerformanceMetrics : false_positive_rate

  PerformanceMetrics : matthews_correlation

  PerformanceMetrics : negative_predictive_value

  PerformanceMetrics : precision

  PerformanceMetrics : sensitivity

  PerformanceMetrics : specificity

```

Inheritance

• PerformanceMetrics
  • AIPerformanceMetrics

Slots

Name	Cardinality and Range	Description	Inheritance
sensitivity	0..1 Float	True positive rate (recall)	direct
specificity	0..1 Float	True negative rate	direct
precision	0..1 Float	Positive predictive value	direct
negative_predictive_value	0..1 Float	Negative predictive value	direct
false_positive_rate	0..1 Float	Type I error rate	direct
false_negative_rate	0..1 Float	Type II error rate	direct
false_discovery_rate	0..1 Float	Expected proportion of false discoveries	direct
false_omission_rate	0..1 Float	Proportion of false negatives among negative calls	direct
accuracy	0..1 Float	Overall accuracy	direct
balanced_accuracy	0..1 Float	Average of sensitivity and specificity	direct
f1_score	0..1 Float	Harmonic mean of precision and recall	direct
matthews_correlation	0..1 Float	Matthews correlation coefficient	direct
diagnostic_odds_ratio	0..1 Float	Ratio of odds of positive test in diseased vs non-diseased	direct
area_under_curve	0..1 Float	Area under the ROC curve	direct

Identifier and Mapping Information

Schema Source

• from schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance

Mappings

Mapping Type	Mapped Value
self	revaise:PerformanceMetrics
native	revaise:PerformanceMetrics

LinkML Source

Direct

name: PerformanceMetrics
description: General performance metrics
from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
slots:
- sensitivity
- specificity
- precision
- negative_predictive_value
- false_positive_rate
- false_negative_rate
- false_discovery_rate
- false_omission_rate
- accuracy
- balanced_accuracy
- f1_score
- matthews_correlation
- diagnostic_odds_ratio
- area_under_curve
slot_usage:
  sensitivity:
    name: sensitivity
    description: True positive rate (recall)
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  specificity:
    name: specificity
    description: True negative rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  precision:
    name: precision
    description: Positive predictive value
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  negative_predictive_value:
    name: negative_predictive_value
    description: Negative predictive value
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_positive_rate:
    name: false_positive_rate
    description: Type I error rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_negative_rate:
    name: false_negative_rate
    description: Type II error rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_discovery_rate:
    name: false_discovery_rate
    description: Expected proportion of false discoveries
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_omission_rate:
    name: false_omission_rate
    description: Proportion of false negatives among negative calls
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  accuracy:
    name: accuracy
    description: Overall accuracy
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  balanced_accuracy:
    name: balanced_accuracy
    description: Average of sensitivity and specificity
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  f1_score:
    name: f1_score
    description: Harmonic mean of precision and recall
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  matthews_correlation:
    name: matthews_correlation
    description: Matthews correlation coefficient
    range: float
    minimum_value: -1.0
    maximum_value: 1.0
  diagnostic_odds_ratio:
    name: diagnostic_odds_ratio
    description: Ratio of odds of positive test in diseased vs non-diseased
    range: float
    minimum_value: 0.0
  area_under_curve:
    name: area_under_curve
    description: Area under the ROC curve
    range: float
    minimum_value: 0.0
    maximum_value: 1.0

Induced

name: PerformanceMetrics
description: General performance metrics
from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
slot_usage:
  sensitivity:
    name: sensitivity
    description: True positive rate (recall)
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  specificity:
    name: specificity
    description: True negative rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  precision:
    name: precision
    description: Positive predictive value
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  negative_predictive_value:
    name: negative_predictive_value
    description: Negative predictive value
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_positive_rate:
    name: false_positive_rate
    description: Type I error rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_negative_rate:
    name: false_negative_rate
    description: Type II error rate
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_discovery_rate:
    name: false_discovery_rate
    description: Expected proportion of false discoveries
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_omission_rate:
    name: false_omission_rate
    description: Proportion of false negatives among negative calls
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  accuracy:
    name: accuracy
    description: Overall accuracy
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  balanced_accuracy:
    name: balanced_accuracy
    description: Average of sensitivity and specificity
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  f1_score:
    name: f1_score
    description: Harmonic mean of precision and recall
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  matthews_correlation:
    name: matthews_correlation
    description: Matthews correlation coefficient
    range: float
    minimum_value: -1.0
    maximum_value: 1.0
  diagnostic_odds_ratio:
    name: diagnostic_odds_ratio
    description: Ratio of odds of positive test in diseased vs non-diseased
    range: float
    minimum_value: 0.0
  area_under_curve:
    name: area_under_curve
    description: Area under the ROC curve
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
attributes:
  sensitivity:
    name: sensitivity
    description: True positive rate (recall)
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  specificity:
    name: specificity
    description: True negative rate
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  precision:
    name: precision
    description: Positive predictive value
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  negative_predictive_value:
    name: negative_predictive_value
    description: Negative predictive value
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_positive_rate:
    name: false_positive_rate
    description: Type I error rate
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_negative_rate:
    name: false_negative_rate
    description: Type II error rate
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_discovery_rate:
    name: false_discovery_rate
    description: Expected proportion of false discoveries
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  false_omission_rate:
    name: false_omission_rate
    description: Proportion of false negatives among negative calls
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  accuracy:
    name: accuracy
    description: Overall accuracy
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  balanced_accuracy:
    name: balanced_accuracy
    description: Average of sensitivity and specificity
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  f1_score:
    name: f1_score
    description: Harmonic mean of precision and recall
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0
  matthews_correlation:
    name: matthews_correlation
    description: Matthews correlation coefficient
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: -1.0
    maximum_value: 1.0
  diagnostic_odds_ratio:
    name: diagnostic_odds_ratio
    description: Ratio of odds of positive test in diseased vs non-diseased
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
  area_under_curve:
    name: area_under_curve
    description: Area under the ROC curve
    from_schema: https://open-and-sustainable.github.io/revaise-model/schema/objects/ai_assistance
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0