problem of over-fitting vs problem of over-training

Both phrases, 'problem of over-fitting' and 'problem of over-training', are commonly used in the context of machine learning and data analysis. They refer to the situation where a model performs well on the training data but poorly on unseen data due to being overly complex. Both phrases are correct and interchangeable in this context.

Last updated: March 19, 2024 • 656 views

problem of over-fitting

This phrase is correct and commonly used in the context of machine learning and data analysis.

This phrase refers to the situation where a machine learning model performs well on the training data but poorly on unseen data due to being overly complex.

Show examples from the web [+]

the problem of over-fitting in model selection in more detail, providing illustrative examples, and describes how to avoid this form of over-fitting in order to gain ...
Jan 26, 2014 ... This is usual practice we follow in data mining. There are some cases where in it does not solve the problem of over-fitting & under fitting.
Jul 1, 2015 ... 07 The problem of over fitting-Introduction to Machine Learning. 1. Regularization 1; 2. The problem of overfitting • So far we've seen a few ...
Finally, we end the chapter with a computing section that provides code for implementing the general model building strategy. 4.1 The Problem of Over- Fitting.

Alternatives:

over-fitting issue
over-fitting problem
over-fitting challenge

problem of over-training

This phrase is correct and commonly used in the context of machine learning and data analysis.

This phrase also refers to the situation where a machine learning model performs well on the training data but poorly on unseen data due to being overly complex.

Show examples from the web [+]

Most people who construct neural networks manage the problem of over-training (or over-fitting) by trial and error. As long as your network is ...
Aug 24, 2004 ... So to combat the problem of over training I train 2 days on and 1 day off, I never train beyond 1-hour mark, at which point I feel diminishing ...
view(net) %%%%% I HAVE PROBLEM OF OVER TRAINING ................ FOR TRAINING DATA R=1 BUT VALIDATION DATA SET OF MY NETWORK DOES NOT ...
however, have shown that the problem of over-training and over-fitting may be avoided by the choice of suit- able network architectures. In situations where data ...

Alternatives:

over-training issue
over-training problem
over-training challenge

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problem of over-fitting vs problem of over-training