# Questions tagged [linear-models]

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### Temperature lag forecasting

I am working on a data science project on an industrial machine. This machine has two heating infrastructures. (fuel and electricity). It uses these two heatings at the same time, and I am trying to ...
• 23
28 views

### Feature importance of a linear regression

What is the easiest and easy to explain feature importance calculation for linear regression? I know I can use Shap to compute feature importance, but I find it difficult to explain it to stakeholders,...
• 209
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### How to write this TeX equation appropriately for publication?

I have a 2 variables that resemble 2 different tests. I would like to multiple it by 0.2 with conditions. If test1 is available and ...
• 1
44 views

### What is the SHAP values for a liner model? How do we derive that?

What is the SHAP values for a linear model? it is given as below in the documentation Assuming features are independent leads to interventional SHAP values which for a linear model are coef[i] * (x[i]...
• 209
1 vote
38 views

### Is it possible to explain why Lasso models eliminated certain coefficient?

Is it possible to understand why Lasso models eliminated specific coefficients?. During the modelling, many of the highly correlated features in data is being eliminated by Lasso regression. Is it ...
• 209
6 views

### Is it possible to find the feature importance of an aggregate feature from the corresponding independent features in a linear model?

I have a model to predict energy consumption in a food processing plant. Different food products are produced in the plant. My model is given as ...
• 209
31 views

### Can I include a quotient as dependent variable and independent variables with same denominator in a linear model? How do we interpret such models?

I want to create a model in a food processing plant where my dependent variable is Electricity (KWhr) consumption per kg. Plant produce different food items with varying electricity consumption. I'm ...
• 209
27 views

### Lasso (or Ridge) vs Bayesian MAP

This is the first time I have posted here. I am looking for some feedback or perspective on this question. To make it simple, let's just talk about linear models. We know the MLE solution for the $l_1$...
7 views

### Ideas to enforce uniformity of error in linear models

I am looking for ideas to not only solve the least square problem, but to enforce errors to be roughly similar. One idea I had is to add the variance of errors in the classical Ordinary Least Square ...
20 views

### Approaches for multiclass classification with a reference level to extract variables of importance?

I have a dataset with with multiple classes (< 20) which I want to classify in reference to one of the classes.The final goal is to extract the variables of importance which are useful to ...
1 vote
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• 131
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