Enum: DatasetSplitType

Standard dataset split types used in machine learning for training,

validation, and testing. These splits are fundamental to ML model

development and evaluation workflows.

__

Permissible Values

Value	Meaning	Description
TRAIN	None	Training split used for model learning
VALIDATION	None	Validation split used for hyperparameter tuning and model selection
TEST	None	Test split used for final model evaluation
ALL	None	Complete dataset without splits

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/linkml/valuesets

LinkML Source

name: DatasetSplitType
description: 'Standard dataset split types used in machine learning for training,

  validation, and testing. These splits are fundamental to ML model

  development and evaluation workflows.

  '
from_schema: https://w3id.org/linkml/valuesets
rank: 1000
permissible_values:
  TRAIN:
    text: TRAIN
    description: Training split used for model learning
    annotations:
      typical_size:
        tag: typical_size
        value: 60-80% of data
      purpose:
        tag: purpose
        value: model training
  VALIDATION:
    text: VALIDATION
    description: Validation split used for hyperparameter tuning and model selection
    annotations:
      typical_size:
        tag: typical_size
        value: 10-20% of data
      purpose:
        tag: purpose
        value: model tuning
      aliases:
        tag: aliases
        value: val, dev
  TEST:
    text: TEST
    description: Test split used for final model evaluation
    annotations:
      typical_size:
        tag: typical_size
        value: 10-20% of data
      purpose:
        tag: purpose
        value: model evaluation
  ALL:
    text: ALL
    description: Complete dataset without splits