Overfitting vs Underfitting - Data Science, AI and ML - Discussion
By A Mystery Man Writer
Description
Underfitting: A statistical model or a machine learning algorithm is said to have underfitting when it cannot capture the underlying trend of the data. (It’s just like trying to fit undersized pants!) Underfitting destroys the accuracy of our machine learning model. Its occurrence simply means that our model or the algorithm does not fit the data well enough. It usually happens when we have less data to build an accurate model and also when we try to build a linear model with a non-linear dat
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Understanding Overfitting and Underfitting for Data Science
![Overfitting vs Underfitting - Data Science, AI and ML - Discussion](https://365datascience.com/resources/blog/it42cu6hbcb-overfitting-vs-underfitting-underfitted-model.png)
Overfitting vs. Underfitting: What Is the Difference?
![Overfitting vs Underfitting - Data Science, AI and ML - Discussion](https://d2o2utebsixu4k.cloudfront.net/media/images/1667569874010-overfitting-and-underfitting-in-machine-learning-3.png)
Overfitting and Underfitting in Machine Learning + [Example]
Underfitting vs. Overfitting (Simplified 😁)
![Overfitting vs Underfitting - Data Science, AI and ML - Discussion](https://i.ytimg.com/vi/nY8VZj9hgvo/maxresdefault.jpg)
Difference between Underfitting and Overfitting
![Overfitting vs Underfitting - Data Science, AI and ML - Discussion](https://miro.medium.com/v2/resize:fit:1400/1*1mfz2ViF1WxZMVhGPvC1VA.png)
Do you know overfitting and underfitting?
![Overfitting vs Underfitting - Data Science, AI and ML - Discussion](https://blog.ml.cmu.edu/wp-content/uploads/2020/06/week4.png)
4 – The Overfitting Iceberg – Machine Learning Blog
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Overfitting vs Underfitting - Data Science, AI and ML - Discussion Forum
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Underfitting and Overfitting in Machine Learning
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