Questions tagged [underfitting]

For questions related to the concept of underfitting in machine learning, which occurs when a machine learning model is not able to learn.

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Why would the application of boosting prevent underfitting?

"Why would the application of boosting prevent underfitting?" I read in some paper that applying boosting would prevent you from underfitting. Why is that? Source: https://www.cs.cornell.edu/...
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Are there principled ways of tuning a neural network in case of overfitting and underfitting?

Whenever I tune my neural network, I usually take the common approach of defining some layers with some neurons. If it overfits, I reduce the layers, neurons, add dropout, utilize regularisation. ...
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Underfitting a single batch: Can't cause autoencoder to overfit multi-sample batches of 1d data. How to debug?

TL;DR I am unable to overfit batches with multiple samples using autoencoder. Fully connected decoder seems to handle more samples per batch than conv decoder, but then also fails when number of ...
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If the model always underfits, do I really need a larger model?

I train my neural network on random points generated for a data set that theoretically consists of approximately $1.8 * 10^{39}$ elements. I sample (generate) tens of thousands of random points on ...
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Identifying if a model is over or under-fitting via graphs

I am working on a Neural Network and have plotted the performance of my model. However the plots seem not to fit the "trends" (which help you identify the issue with your model) presented in ...