configs/model/metrics/ww_dti_metrics.yaml

defaults:
  - auroc
  - auprc

Accuracy0_5:
  _target_: torchmetrics.Accuracy
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

Accuracy0_8:
  _target_: torchmetrics.Accuracy
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

Accuracy0_85:
  _target_: torchmetrics.Accuracy
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

Accuracy0_9:
  _target_: torchmetrics.Accuracy
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

Accuracy0_95:
  _target_: torchmetrics.Accuracy
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95



Sensitivity0_5:
  _target_: deepscreen.models.metrics.sensitivity.Sensitivity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

Sensitivity0_8:
  _target_: deepscreen.models.metrics.sensitivity.Sensitivity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

Sensitivity0_85:
  _target_: deepscreen.models.metrics.sensitivity.Sensitivity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

Sensitivity0_9:
  _target_: deepscreen.models.metrics.sensitivity.Sensitivity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

Sensitivity0_95:
  _target_: deepscreen.models.metrics.sensitivity.Sensitivity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95



Specificity0_5:
  _target_: torchmetrics.Specificity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

Specificity0_8:
  _target_: torchmetrics.Specificity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

Specificity0_85:
  _target_: torchmetrics.Specificity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

Specificity0_9:
  _target_: torchmetrics.Specificity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

Specificity0_95:
  _target_: torchmetrics.Specificity
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95
  


Precision0_5:
  _target_: torchmetrics.Precision
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

Precision0_8:
  _target_: torchmetrics.Precision
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

Precision0_85:
  _target_: torchmetrics.Precision
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

Precision0_9:
  _target_: torchmetrics.Precision
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

Precision0_95:
  _target_: torchmetrics.Precision
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95
  
  

Recall0_5:
  _target_: torchmetrics.Recall
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

Recall0_8:
  _target_: torchmetrics.Recall
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

Recall0_85:
  _target_: torchmetrics.Recall
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

Recall0_9:
  _target_: torchmetrics.Recall
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

Recall0_95:
  _target_: torchmetrics.Recall
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95
  


F1Score0_5:
  _target_: torchmetrics.F1Score
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.5

F1Score0_8:
  _target_: torchmetrics.F1Score
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.8

F1Score0_85:
  _target_: torchmetrics.F1Score
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.85

F1Score0_9:
  _target_: torchmetrics.F1Score
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.9

F1Score0_95:
  _target_: torchmetrics.F1Score
  task: ${task.task}
  num_classes: ${task.num_classes}
  threshold: 0.95