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Results tagged with model-selection
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user 94457
Model selection is the process of comparing several models and their respective results to choose the model is best according to some evaluation metric.
7
votes
Accepted
Is autocorrelation of residuals a problem in machine learning?
Yes, autocorrelation in residuals is a problem, but this is essentially because it is a clear illustration that there was more learnable information in the process you are modelling but your model mis …
- 1,530
3
votes
Accepted
is it possible get a overfit underfit comparation between models, with this chart? (homework)
Your chart seems to show that light GBM models are very inconsistent in terms of F1 score. The other two types of model tend to have lower validation accuracy than training accuracy, suggesting overfi …
- 1,530
2
votes
Is there any way to explicitly measure the complexity of a Machine Learning Model in Python
As mentioned by other answers here, when we talk about model complexity we are usually thinking about the number of parameters the model learns. When someone talks about comparing to a less complex mo …
- 1,530
0
votes
Is it a good practice to evaluate model performance by comparing the metrics of rescaled (in...
The error as a percentage of the true value in each case is probably the same - it just seems bigger because the standardised values are a lot smaller than the unstandardised ones (standardised values …
- 1,530