freezpmark / dash-app-naive-bayes-visualization

Web application providing interactive visualizations of the Naive Bayes classifier, where we can experiment with different configurations.

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Provides interactive visualizations for text classification using the Naive Bayes Classifier​. It aims to demystify the inner workings of the algorithm, enabling users to gain deeper understanding of how it categorizes text documents. It serves as a tool for identifying instances when the algorithm's performance falls short. Frequently, it's quite challenging to pinpoint the reasons behind incorrect classifications, and the decision-making process driving predictions often remains obscured. It offers a window into the algorithm's decision-making process, illuminating these aspects and making them more transparent.

🌐 Check the app:

🧑‍💻 Running locally:

  • git clone https://github.com/freezpmark/dash-app-naive-bayes-visualization
  • cd dash-app-naive-bayes-visualization
  • pip install -r requirements.txt
  • python dashWEB_eng.py

About

Web application providing interactive visualizations of the Naive Bayes classifier, where we can experiment with different configurations.


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Language:Jupyter Notebook 64.2%Language:Python 35.8%