A Flask API that uses a Scikit Learn model to detect Autism cases
This 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
A Flask API that uses a Scikit Learn model to detect Autism cases launched on May 19, 2018 with 6 votes, #1,430 of 2,985 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 8 years on.
What it does
This 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. - ritabratamai
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