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Class: AggregatePrediction

URI: linkml_common:AggregatePrediction

classDiagram class AggregatePrediction click AggregatePrediction href "../AggregatePrediction" OutcomeStatistics <|-- AggregatePrediction click OutcomeStatistics href "../OutcomeStatistics" Prediction <|-- AggregatePrediction click Prediction href "../Prediction" AggregatePrediction : accuracy AggregatePrediction : expected_value AggregatePrediction --> "0..1" Any : expected_value click Any href "../Any" AggregatePrediction : f1_score AggregatePrediction : false_negative_count AggregatePrediction : false_positive_count AggregatePrediction : precision AggregatePrediction : predicted_value AggregatePrediction --> "0..1" Any : predicted_value click Any href "../Any" AggregatePrediction : recall AggregatePrediction : true_negative_count AggregatePrediction : true_positive_count AggregatePrediction : type AggregatePrediction : variable_predicted AggregatePrediction --> "0..1" Variable : variable_predicted click Variable href "../Variable"

Inheritance

Slots

Name Cardinality and Range Description Inheritance
true_positive_count 0..1
CountScalar		 Total number of true positives (TP) OutcomeStatistics
false_positive_count 0..1
CountScalar		 Total number of false positives (FP) OutcomeStatistics
true_negative_count 0..1
CountScalar		 Total number of true negatives (TN) OutcomeStatistics
false_negative_count 0..1
CountScalar		 Total number of false negatives (FN) OutcomeStatistics
recall 0..1
Float		 Recall is calculated as TP / (TP + FN) OutcomeStatistics
precision 0..1
Float		 Precision is calculated as TP / (TP + FP) OutcomeStatistics
f1_score 0..1
Float		 F1 Score is the harmonic mean of precision and recall OutcomeStatistics
accuracy 0..1
Float		 Accuracy is calculated as (TP + TN) / (TP + FP + TN + FN) OutcomeStatistics
variable_predicted 0..1
Variable		 Prediction
predicted_value 0..1
Any		 Prediction
expected_value 0..1
Any		 Prediction
type 0..1
String		 A type for a thing Typed

Identifier and Mapping Information

Schema Source

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

Mappings

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

LinkML Source

Direct

name: AggregatePrediction
from_schema: https://w3id.org/linkml/linkml-common
is_a: Prediction
mixins:
- OutcomeStatistics

Induced

name: AggregatePrediction
from_schema: https://w3id.org/linkml/linkml-common
is_a: Prediction
mixins:
- OutcomeStatistics
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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    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: AggregatePrediction
    domain_of:
    - OutcomeStatistics
    range: float
    equals_expression: (true_positives + true_negatives) / (true_positives + false_positives
      + true_negatives + false_negatives)
  variable_predicted:
    name: variable_predicted
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: variable_predicted
    owner: AggregatePrediction
    domain_of:
    - Prediction
    range: Variable
  predicted_value:
    name: predicted_value
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: predicted_value
    owner: AggregatePrediction
    domain_of:
    - Prediction
    range: Any
  expected_value:
    name: expected_value
    from_schema: https://w3id.org/linkml-common/statistics
    rank: 1000
    alias: expected_value
    owner: AggregatePrediction
    domain_of:
    - Prediction
    - SimplePrediction
    range: Any
  type:
    name: type
    description: A type for a thing. The range of this should be a class within the
      schema. It is intended for schema-based classification. Anything beneath the
      shoreline of the schema should use `classification`.
    from_schema: https://w3id.org/linkml/linkml-common
    rank: 1000
    designates_type: true
    alias: type
    owner: AggregatePrediction
    domain_of:
    - Typed
    range: string