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Continuous improvement of centroid predictive models (see #1) #130

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isms opened this issue Sep 20, 2017 · 1 comment
Open
2 tasks

Continuous improvement of centroid predictive models (see #1) #130

isms opened this issue Sep 20, 2017 · 1 comment

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@isms
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isms commented Sep 20, 2017

Overview

We want to continuously improve the accuracy and reliability of models developed for nodule identification. This is a continuation of #1 and will remain open indefinitely.

Note: Substantive contributions are currently eligible for increased point awards.

Design doc reference:
Jobs to be done > Detect and select > Prediction service

Acceptance criteria

  • trained model for identification
  • documentation for the trained model (e.g., cross validation performance, data used) and how to re-train it

NOTE: All PRs must follow the standard PR checklist.

@pjbull
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pjbull commented Dec 22, 2017

For folks who are interested, see the latest announcement here:
https://concepttoclinic.drivendata.org/newsfeed

There are a limited number of AWS credits available for folks to continue to make progress on these algorithms.

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