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Results tagged with overfitting
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user 249377
Modeling error (especially sampling error) instead of replicable and informative relationships among variables improves model fit statistics, but reduces parsimony, and worsens explanatory and predictive validity.
1
vote
1
answer
10
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What's is the training data here?
Can somebody explain me why this classifier is giving a loss equal to cero? I don't get the example
SourceText
- 257
0
votes
0
answers
30
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Is the model over-fitting the data?
What do you think is the optimal number of epochs before the model starts overfitting? I would go with 74 epochs. …
- 257
3
votes
1
answer
1k
views
Overfitting in recommender systems
So I want to know whether or not my models are overfitting or the difference between train and validation errors are decent. … From what i know you are supposed to know if a model is overfitting or not by adding more data to the training set? In this example all I did was to sweep the values of the $L$ neighbors. …
- 257