Published July 19, 2018
| Version v1.0
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Open
ritabratamaiti/Autism-Detection-API v1.0
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Description
Autism Detection APIThis project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask API to make predictions in the cloud.
Files
ritabratamaiti/Autism-Detection-API-v1.0.zip
Files
(4.5 MB)
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md5:b0b22157f5c6e90dd5bf6ae67276d675
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Additional details
Related works
- Is supplement to
- https://github.com/ritabratamaiti/Autism-Detection-API/tree/v1.0 (URL)