Class: OutcomeStatistics

A class for collecting totals of various outcomes.

classDiagram class OutcomeStatistics click OutcomeStatistics href "../OutcomeStatistics" OutcomeStatistics <|-- AggregatePrediction click AggregatePrediction href "../AggregatePrediction" OutcomeStatistics <|-- PredictionSummaryStatistics click PredictionSummaryStatistics href "../PredictionSummaryStatistics" OutcomeStatistics : accuracy OutcomeStatistics : f1_score OutcomeStatistics : false_negative_count OutcomeStatistics : false_positive_count OutcomeStatistics : precision OutcomeStatistics : recall OutcomeStatistics : true_negative_count OutcomeStatistics : true_positive_count

Slots

Name	Cardinality and Range	Description	Inheritance
true_positive_count	0..1 CountScalar	Total number of true positives (TP)	direct
false_positive_count	0..1 CountScalar	Total number of false positives (FP)	direct
true_negative_count	0..1 CountScalar	Total number of true negatives (TN)	direct
false_negative_count	0..1 CountScalar	Total number of false negatives (FN)	direct
recall	0..1 Float	Recall is calculated as TP / (TP + FN)	direct
precision	0..1 Float	Precision is calculated as TP / (TP + FP)	direct
f1_score	0..1 Float	F1 Score is the harmonic mean of precision and recall	direct
accuracy	0..1 Float	Accuracy is calculated as (TP + TN) / (TP + FP + TN + FN)	direct

Mixin Usage

mixed into	description
AggregatePrediction
PredictionSummaryStatistics	A class for collecting totals of various outcomes

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/linkml/linkml-common

Mappings

Mapping Type	Mapped Value
self	linkml_common:OutcomeStatistics
native	linkml_common:OutcomeStatistics

LinkML Source

Direct

name: OutcomeStatistics
description: A class for collecting totals of various outcomes.
from_schema: https://w3id.org/linkml/linkml-common
mixin: true
attributes:
  true_positive_count:
    name: true_positive_count
    description: Total number of true positives (TP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  false_positive_count:
    name: false_positive_count
    description: Total number of false positives (FP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  true_negative_count:
    name: true_negative_count
    description: Total number of true negatives (TN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  false_negative_count:
    name: false_negative_count
    description: Total number of false negatives (FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  recall:
    name: recall
    description: Recall is calculated as TP / (TP + FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives) / (true_positives + false_negatives)
  precision:
    name: precision
    description: Precision is calculated as TP / (TP + FP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives) / (true_positives + false_positives)
  f1_score:
    name: f1_score
    description: F1 Score is the harmonic mean of precision and recall
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: 2 * (precision * recall) / (precision + recall)
  accuracy:
    name: accuracy
    description: Accuracy is calculated as (TP + TN) / (TP + FP + TN + FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives + true_negatives) / (true_positives + false_positives
      + true_negatives + false_negatives)

Induced

name: OutcomeStatistics
description: A class for collecting totals of various outcomes.
from_schema: https://w3id.org/linkml/linkml-common
mixin: true
attributes:
  true_positive_count:
    name: true_positive_count
    description: Total number of true positives (TP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: true_positive_count
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  false_positive_count:
    name: false_positive_count
    description: Total number of false positives (FP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: false_positive_count
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  true_negative_count:
    name: true_negative_count
    description: Total number of true negatives (TN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: true_negative_count
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  false_negative_count:
    name: false_negative_count
    description: Total number of false negatives (FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: false_negative_count
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: CountScalar
  recall:
    name: recall
    description: Recall is calculated as TP / (TP + FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: recall
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives) / (true_positives + false_negatives)
  precision:
    name: precision
    description: Precision is calculated as TP / (TP + FP)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: precision
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives) / (true_positives + false_positives)
  f1_score:
    name: f1_score
    description: F1 Score is the harmonic mean of precision and recall
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: f1_score
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: 2 * (precision * recall) / (precision + recall)
  accuracy:
    name: accuracy
    description: Accuracy is calculated as (TP + TN) / (TP + FP + TN + FN)
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: accuracy
    owner: OutcomeStatistics
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives + true_negatives) / (true_positives + false_positives
      + true_negatives + false_negatives)