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# A Simple Dense Classification Model for a ChatGPT Generated Imbalanced Data.

**[AI in Plain English](https://daily.dev/sources/aiplainenglish)** · 5 min read · 1 upvotes · 1 comments

## Summary

This post discusses the use of a simple dense classification model for imbalanced data. It compares the performance of the model with a Multinomial Naive Bayes model and provides insights on data exploration and feature selection. The Naive Bayes model performs poorly on the minority class, while the dense model shows improved performance. The post concludes by mentioning the possibility of using other statistical models for better results.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ai.plainenglish.io/a-simple-dense-classification-model-for-a-chatgpt-generated-imbalanced-data-with-naive-bayes-as-936c33f71957>

## Community discussion

Top comments from developers on daily.dev.

**@ayeshaitshad1337** · 0 upvotes

> I like the way you analyzed the data and tell a story ... and it makes sense thank you

---

Tags: [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning), [#overfitting](https://daily.dev/tags/overfitting)

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