PublicDatasetModel

dataset_id
Type: integer · Dataset Id
required

Integer numbers.
estimated_runtime
Type: number · Estimated Runtimenullable
required
id
Type: integer · Id
required

Integer numbers.
is_classification
Type: boolean · Is Classificationnullable
required

Whether the target is classification rather than regression.
output_name
Type: string · Output Namenullable
required
status
Type: string · ModelStatusenum
required
values
- scheduling
- created
- running
- failed
- completed
- cancelled
metrics
Type: object · PublicDatasetModelMetricsnullable

Selected model information and validation metrics. This is null until metrics are available.
- algorithm
  Type: string · Algorithm
  required
  
  Human-readable name of the selected algorithm.
- correlation_validation_name
  Type: string · Correlation Validation Name
  required
  
  Name of the primary performance metric, such as r2_cv_mean or mcc_cv_mean.
- correlation_validation_value
  Type: number · Correlation Validation Value
  required
  
  Primary cross-validation or test-set performance value. Interpret it using correlation_validation_name.
- error_validation_name
  Type: string · Error Validation Name
  required
  
  Name of the secondary performance metric, such as mae_cv_mean or roc_auc_cv_mean.
- error_validation_value
  Type: number · Error Validation Value
  required
  
  Secondary cross-validation or test-set performance value. Interpret it using error_validation_name.
- featuriser
  Type: string · Featuriser
  required
  
  Human-readable name of the selected molecular representation, including the foundation model name when one was selected.
- is_log
  Type: boolean · Is Log
  required
  
  Whether the model was trained on log-transformed targets.
- test_r2
  Type: number · Test R2nullable
  
  R-squared on user-provided external test data, if any.