Model Cards for Model Reporting

Source — https://modelcards.withgoogle.com/about

What are model cards?

Why do we need model cards?

Model Card Use cases for different stakeholders:

Different sections of Model Card:

Model date: Date on which model was developed

Model version: The current version and how it differs from older versions

Model type: The type of model. For example — The neural network model or Naïve Bayes Model etc.

Paper or other resources: This can provide resources for more information.

Primary intended uses: This section states whether the model was developed with general or specific tasks in mind.

Primary intended users: This helps users gain insight into how robust the model may be to different kinds of inputs. For example — The model might only be developed for entertainment purposes and not for business purposes

Out-of-scope uses: This section highlights the use case the model is not meant to be applied to or the technology that the model might easily be confused with.

Relevant factors: Foreseeable salient factors for which model performance may vary.

Evaluation factors: Evaluation factors are the ones that actually get reported.

References:

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IIM Bangalore | Writing about Machine Learning & Quantitative finance.

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Priyanka Dalmia

Priyanka Dalmia

IIM Bangalore | Writing about Machine Learning & Quantitative finance.

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