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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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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1answer
102 views

Is my GRU model under-fitting given this plot of the training and validation loss?

I was running my gated recurrent unit (GRU) model. I wanted to get an opinion if my loss and validation loss graph is good or not, since I'm new to this and don't really know if that is considered ...
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0answers
10 views

Why would the application of kernelization prevent underfitting

"Why would the application of kernelization prevent underfitting" I read in some paper that applying kernelization would prevent you from underfitting. Why is that? Source: http://www.cs.cornell.edu/...
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49 views

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: http://www.cs.cornell.edu/courses/...
1
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1answer
46 views

TensorFlow estimator DNNClassifier fails to fit simple data

The ready-to-use DNNClassifier in tf.estimator seems not able to fit these data: ...
1
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1answer
106 views

Which model is better given their training and validation errors?

Below you have the plots of the training and validation errors for two different models. Both plots show the RMSE values for the validation dataset versus the number of training epochs. It is observed ...