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Class: MLModel

Machine Learning and AI-based models for prediction, mechanism inference, and hypothesis generation.

URI: [namo:MLModel](https://w3id.org/monarch-initiative/namo/MLModel)
classDiagram class MLModel click MLModel href "../MLModel/" InSilicoModel <|-- MLModel click InSilicoModel href "../InSilicoModel/" MLModel : biological_organization_level MLModel --> "0..1" BiologicalOrganizationLevelEnum : biological_organization_level click BiologicalOrganizationLevelEnum href "../BiologicalOrganizationLevelEnum/" MLModel : complexity_level MLModel --> "0..1" ComplexityLevelEnum : complexity_level click ComplexityLevelEnum href "../ComplexityLevelEnum/" MLModel : computational_method MLModel : cross_validation MLModel --> "0..1" CrossValidation : cross_validation click CrossValidation href "../CrossValidation/" MLModel : description MLModel : feature_types MLModel --> "*" FeatureTypeEnum : feature_types click FeatureTypeEnum href "../FeatureTypeEnum/" MLModel : id MLModel : ml_algorithm MLModel --> "0..1" MLAlgorithmEnum : ml_algorithm click MLAlgorithmEnum href "../MLAlgorithmEnum/" MLModel : model_interpretability MLModel --> "0..1" InterpretabilityLevelEnum : model_interpretability click InterpretabilityLevelEnum href "../InterpretabilityLevelEnum/" MLModel : models MLModel --> "*" ModelsRelationship : models click ModelsRelationship href "../ModelsRelationship/" MLModel : name MLModel : prediction_scope MLModel : references MLModel --> "*" Reference : references click Reference href "../Reference/" MLModel : software_platform MLModel : spatial_context MLModel : training_data_size MLModel : type MLModel : validation_datasets
## Inheritance * [NamedThing](NamedThing.md) * [ModelSystem](ModelSystem.md) * [NAMModel](NAMModel.md) * [InSilicoModel](InSilicoModel.md) * **MLModel** ## Slots | Name | Cardinality and Range | Description | Inheritance | | --- | --- | --- | --- | | [ml_algorithm](ml_algorithm.md) | 0..1
[MLAlgorithmEnum](MLAlgorithmEnum.md) | Type of machine learning algorithm used | direct | | [feature_types](feature_types.md) | *
[FeatureTypeEnum](FeatureTypeEnum.md) | Types of features used (molecular, phenotypic, imaging, etc | direct | | [training_data_size](training_data_size.md) | 0..1
[Integer](Integer.md) | Size of training dataset | direct | | [model_interpretability](model_interpretability.md) | 0..1
[InterpretabilityLevelEnum](InterpretabilityLevelEnum.md) | Level of model interpretability (black box, interpretable, explainable) | direct | | [cross_validation](cross_validation.md) | 0..1
[CrossValidation](CrossValidation.md) | Cross-validation strategy and results | direct | | [computational_method](computational_method.md) | 0..1
[String](String.md) | Primary computational method or algorithm used | [InSilicoModel](InSilicoModel.md) | | [software_platform](software_platform.md) | 0..1
[String](String.md) | Software platform or programming language used | [InSilicoModel](InSilicoModel.md) | | [validation_datasets](validation_datasets.md) | *
[String](String.md) | Datasets used for model training and validation | [InSilicoModel](InSilicoModel.md) | | [prediction_scope](prediction_scope.md) | 0..1
[String](String.md) | Scope and limitations of model predictions | [InSilicoModel](InSilicoModel.md) | | [biological_organization_level](biological_organization_level.md) | 0..1
[BiologicalOrganizationLevelEnum](BiologicalOrganizationLevelEnum.md) | The level of biological organization represented by the model | [NAMModel](NAMModel.md) | | [spatial_context](spatial_context.md) | 0..1
[String](String.md) | Description of spatial organization and context captured by the model | [NAMModel](NAMModel.md) | | [complexity_level](complexity_level.md) | 0..1
[ComplexityLevelEnum](ComplexityLevelEnum.md) | Level of biological complexity represented (subcellular, cellular, tissue, or... | [NAMModel](NAMModel.md) | | [references](references.md) | *
[Reference](Reference.md) | Literature references that describe, validate, or support this model | [NAMModel](NAMModel.md) | | [models](models.md) | *
[ModelsRelationship](ModelsRelationship.md) | | [ModelSystem](ModelSystem.md) | | [id](id.md) | 1
[Uriorcurie](Uriorcurie.md) | A unique identifier for a thing | [NamedThing](NamedThing.md) | | [name](name.md) | 0..1
[String](String.md) | A human-readable name for a thing | [NamedThing](NamedThing.md) | | [description](description.md) | 0..1
[String](String.md) | A human-readable description for a thing | [NamedThing](NamedThing.md) | | [type](type.md) | 0..1
[String](String.md) | | [NamedThing](NamedThing.md) | ## Identifier and Mapping Information ### Schema Source * from schema: https://w3id.org/monarch-initiative/namo ## Mappings | Mapping Type | Mapped Value | | --- | --- | | self | namo:MLModel | | native | namo:MLModel | ## LinkML Source ### Direct 
name: MLModel
description: Machine Learning and AI-based models for prediction, mechanism inference,
  and hypothesis generation.
from_schema: https://w3id.org/monarch-initiative/namo
is_a: InSilicoModel
attributes:
  ml_algorithm:
    name: ml_algorithm
    description: Type of machine learning algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: MLAlgorithmEnum
  feature_types:
    name: feature_types
    description: Types of features used (molecular, phenotypic, imaging, etc.)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: FeatureTypeEnum
    multivalued: true
  training_data_size:
    name: training_data_size
    description: Size of training dataset
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: integer
  model_interpretability:
    name: model_interpretability
    description: Level of model interpretability (black box, interpretable, explainable)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: InterpretabilityLevelEnum
  cross_validation:
    name: cross_validation
    description: Cross-validation strategy and results
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: CrossValidation
    inlined: true
### Induced 
name: MLModel
description: Machine Learning and AI-based models for prediction, mechanism inference,
  and hypothesis generation.
from_schema: https://w3id.org/monarch-initiative/namo
is_a: InSilicoModel
attributes:
  ml_algorithm:
    name: ml_algorithm
    description: Type of machine learning algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - MLModel
    range: MLAlgorithmEnum
  feature_types:
    name: feature_types
    description: Types of features used (molecular, phenotypic, imaging, etc.)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - MLModel
    range: FeatureTypeEnum
    multivalued: true
  training_data_size:
    name: training_data_size
    description: Size of training dataset
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - MLModel
    range: integer
  model_interpretability:
    name: model_interpretability
    description: Level of model interpretability (black box, interpretable, explainable)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - MLModel
    range: InterpretabilityLevelEnum
  cross_validation:
    name: cross_validation
    description: Cross-validation strategy and results
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - MLModel
    range: CrossValidation
    inlined: true
  computational_method:
    name: computational_method
    description: Primary computational method or algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  software_platform:
    name: software_platform
    description: Software platform or programming language used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  validation_datasets:
    name: validation_datasets
    description: Datasets used for model training and validation
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
    multivalued: true
  prediction_scope:
    name: prediction_scope
    description: Scope and limitations of model predictions
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  biological_organization_level:
    name: biological_organization_level
    description: The level of biological organization represented by the model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - NAMModel
    range: BiologicalOrganizationLevelEnum
  spatial_context:
    name: spatial_context
    description: Description of spatial organization and context captured by the model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - NAMModel
    range: string
  complexity_level:
    name: complexity_level
    description: Level of biological complexity represented (subcellular, cellular,
      tissue, organ, system)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - NAMModel
    range: ComplexityLevelEnum
  references:
    name: references
    description: Literature references that describe, validate, or support this model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - NAMModel
    range: Reference
    multivalued: true
    inlined: true
    inlined_as_list: true
  models:
    name: models
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    owner: MLModel
    domain_of:
    - ModelSystem
    range: ModelsRelationship
    multivalued: true
  id:
    name: id
    description: A unique identifier for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:identifier
    identifier: true
    owner: MLModel
    domain_of:
    - NamedThing
    - Reference
    - BiolinkEntity
    range: uriorcurie
    required: true
  name:
    name: name
    description: A human-readable name for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:name
    owner: MLModel
    domain_of:
    - NamedThing
    - BiolinkEntity
    range: string
  description:
    name: description
    description: A human-readable description for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:description
    owner: MLModel
    domain_of:
    - NamedThing
    - BiolinkEntity
    range: string
  type:
    name: type
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    designates_type: true
    owner: MLModel
    domain_of:
    - NamedThing
    range: string