All Questions
Tagged with elastic-net scikit-learn
6 questions
0
votes
0
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33
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Logistic regression with E-net regularization produces different set of weights with each run
I am currently trying to make a model to classify brain tumor patients by incidence of epilepsy using a combination of variables extracted from clinical records, and radiomics features from segmented ...
2
votes
2
answers
324
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How to calculate the significance of each feature?
I built a predictive model using an elastic net regression model with sklearn. The model R2 = 0.015. I know SHAP method could provide the importance of the features. However, How to calculate the ...
- 23
1
vote
1
answer
381
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What is the purpose of positive parameter in sklearn.linear_model.ElasticNet?
I saw this parameter in the sklearn.linear_model.ElasticNet.
What is the purpose of this? What is the possible scenario where we want to force the coefficients to ...
- 263
2
votes
1
answer
89
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I am curious about the interpretation of the elastic Net coefficient
I want to discover the importance of variables in data through sklearn's Elactic Net. But I don't understand the exact meaning of coefficient. When training, I used alpha: 0.01585598, l1_ratio: 1.000.
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- 21
1
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0
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621
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Can elastic net l1 ratio be greater than 1?
I have multiple datasets that I trained with ElasticNetCV (sklearn), and I noticed that many of them selected l1_ratio = 1 as ...
- 221
12
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3
answers
17k
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What needs to be done to make n_jobs work properly on sklearn? in particular on ElasticNetCV?
The constructor of sklearn.linear_model.ElasticNetCV takesn_jobs as an argument.
Quoting the documentation here
n_jobs: int, ...
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