kaushalshetty/Stacking
Multiple Model Ensembling
This project helps data scientists improve the accuracy of their predictive models. It takes your existing dataset and a collection of individual predictive models. It then intelligently combines the predictions from these models to produce a more robust and accurate final prediction. This is ideal for data scientists or machine learning engineers who need to squeeze extra performance out of their classification tasks.
No commits in the last 6 months.
Use this if you are a data scientist looking to boost the predictive accuracy of your classification models beyond what individual models can achieve.
Not ideal if you are new to machine learning and need a simple, single-model solution, or if interpretability of individual model contributions is your primary concern.
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8
Forks
4
Language
Python
License
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Category
Last pushed
Apr 04, 2017
Commits (30d)
0
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