---
title: "Discussion on \"Does a More Complex ML Model Actually Give Better Results?\" | Hashnode"
description: "Discussion on \"Does a More Complex ML Model Actually Give Better Results?\". I compared Logistic Regression and XGBoost on the same churn dataset. The simpler model performed better, even across 5-fold cross-validation."
url: "https://hashnode.com/posts/does-a-more-complex-ml-model-actually-give-better-results/6acf5b94f069b0121b58b0e5"
---

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# [Does a More Complex ML Model Actually Give Better Results?](https://vashniroy.hashnode.dev/does-a-more-complex-ml-model-actually-give-better-results?utm_source=hashnode&utm_medium=feed)

I compared Logistic Regression and XGBoost on the same churn dataset. The simpler model performed better, even across 5-fold cross-validation.

Oct 14 · 3 min read · vashniroy.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#xgboost](https://hashnode.com/tag/xgboost)
-   [#data-science](https://hashnode.com/tag/data-science)
-   [#python](https://hashnode.com/tag/python)
-   [#model-evaluation](https://hashnode.com/tag/model-evaluation)

## Written by

[Vashni Roy](https://hashnode.com/@vashniroy)

@vashniroy · Hyderabad, India

  
[View profile](https://hashnode.com/@vashniroy)

Software Engineer | Full Stack & AI/ML

Software engineer working across full-stack development and AI/ML. I write about experiments, engineering decisions, and things I find useful while building software.

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