Class: PerformanceMetrics¶

General performance metrics

```mermaid classDiagram class PerformanceMetrics click PerformanceMetrics href "../PerformanceMetrics/" 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

```

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/stages/search

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/stages/search
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/stages/search
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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    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/stages/search
    rank: 1000
    owner: PerformanceMetrics
    domain_of:
    - PerformanceMetrics
    range: float
    minimum_value: 0.0
    maximum_value: 1.0