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wiki:autolit:screening:inclusionpredictionmodel [2024/07/24 17:27]
jthurnham [Meeting the Threshold]
wiki:autolit:screening:inclusionpredictionmodel [2024/09/23 11:59] (current)
jthurnham [Interpreting Robot Screener]
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 The below guidance is specifically for using Robot Screener, for information on training the model for probability generation only and general information on how the model works see [[wiki:autolit:screening:model|Using and Interpreting the Screening Model.]] The below guidance is specifically for using Robot Screener, for information on training the model for probability generation only and general information on how the model works see [[wiki:autolit:screening:model|Using and Interpreting the Screening Model.]]
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 +----
  
 ===== Robot Screener ===== ===== Robot Screener =====
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 Want to use Automatic Training for use in manual screening instead? [[wiki:autolit:screening:model|Learn more here.]] Want to use Automatic Training for use in manual screening instead? [[wiki:autolit:screening:model|Learn more here.]]
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 +----
  
 ==== Meeting the Threshold ==== ==== Meeting the Threshold ====
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 {{ :undefined:screenshot_2024-07-24_at_18.13.41.png?nolink |}} {{ :undefined:screenshot_2024-07-24_at_18.13.41.png?nolink |}}
  
-This will display a histogram under the "Predictions" tab, a table of various Cross Validation statistics, and an explanation as to how to interpret these values. You can also view the Robot Screener recommendations in the Screening model modal. Select "Advance"/"Include" to view studies the Robot has advanced/includedor "Exclude" for excluded studies-- these are both shortcuts that take you to Study Inspector to show you the corresponding subsets of studies. Otherwise, the filter can be manually added from Study InspectorFrom this modal, you can also delete the model if you wish to start again from scratch.+This will display a histogram under the "Predictions" tab, a table of various Cross Validation statistics displaying history of previous trainings of the model, and an explanation as to how to interpret these values. Note: the history of trained models is displayed for informational purposes onlyand not versions that can be reverted back toRetraining the model does not guarantee improved statistics and performance.
  
-{{ :undefined:screenshot_2024-07-24_at_18.22.22.png?nolink |}}+You can also view the Robot Screener recommendations in the Screening model modal. Select "Advance"/"Include" to view studies the Robot has advanced/included, or "Exclude" for excluded studies-- these are both shortcuts that take you to Study Inspector to show you the corresponding subsets of studies. Otherwise, the filter can be manually added from Study Inspector. From this modal, you can also delete the model if you wish to start again from scratch. 
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 +With Predictions toggled: 
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 +{{ :undefined:screenshot_2024-09-23_at_12.56.51.png?nolink |}} 
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 +With Cross Validation toggled: 
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 +{{ :undefined:screenshot_2024-09-23_at_12.57.00.png?nolink |}}
  
 [[wiki:autolit:screening:model#interpreting_the_model|Learn more about interpreting the model, its performance and how it works here.]] [[wiki:autolit:screening:model#interpreting_the_model|Learn more about interpreting the model, its performance and how it works here.]]
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 ===== Robot Screener Validation Studies ===== ===== Robot Screener Validation Studies =====
  
wiki/autolit/screening/inclusionpredictionmodel.1721842022.txt.gz · Last modified: 2024/07/24 17:27 by jthurnham