Questions tagged [glm]
The glm tag has no usage guidance.
31
questions
6
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1
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84
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How to choose between different models with similar results? RF, GLM and XGBoost
I am a medical doctor trying to make prediction models based on a database of approximately 1500 patients with 60+ parameters each.
I am dealing with a classification problem (mortality at 1, 3, 6 and ...
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0
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0
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50
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What kind of models are suitable for predicting a proportional dependent variable (apart from logistic regression)?
I have a task of building two ML models in Python to predict a proportional value. I have a small data set of a fitness club's classes where each row was a class held this year. I have to predict the ...
0
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0
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29
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Gamma GLM Regression with Diminishing Returns Adjustment
I am building a two-part model using a logistic regression for the first part and a gamma GLM regression model with a log link function for the second part. The objective of this model is to ...
0
votes
1
answer
32
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Interpreting interaction term coefficient in GLM/regression
I'm a psychology student and trying come up with a research plan involving GLM. I'm thinking about adding an interaction term in the analysis but I'm unsure about the interpretation of it. To make ...
- 5
0
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0
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616
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NaN, inf or invalid value detected in endog, estimation infeasible error when training statsmodels GLM model
I am trying to build a GLM model (poisson family) using python statsmodels package on train data.
The data I have contains categorical values as exogenous variables and numerical values for my target (...
1
vote
0
answers
44
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Sudden jumps in accuracy with logistic regression and bag of words : "glm.fit: algorithm did not converge"
I work on a bag of words, on the Toxic Comments Classifications challenge. The challenge is closed but the dataset is very nice to learn.
I use R, tf-idf, tm, and logistic regression.
I have a strange ...
- 111
1
vote
0
answers
60
views
Difficulty understanding the difference between Poisson, Quasi-Poisson, and Negative Binomial models
I will try to keep this short.
As an assignment for my GLM course, we were given a dataset on the # of homicide victims a person knows, as well as the race of the person. The main idea is to answer ...
- 33
0
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139
views
how to describe a decrease in sales
Hypothetically, if your company's sales had dropped significantly in 2020, what approach would you take to describe the cause? can you build a model to predict the decrease (between 2019 and 2020 for ...
1
vote
1
answer
4k
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Error while trying glmnet() in R: "Error in storage.mode(xd) <- "double" : 'list' object cannot be coerced to type 'double'"
I'm trying to create a logistic regression model using Ridge, this is the code:
glmnet(X_Train, Y_Train, family='binomial', alpha=0, type.measure='auc')
And this ...
- 25
3
votes
0
answers
733
views
How to retrieve results summary from statsmodels GLM with regularization?
I'm trying to fit a GLM to predict continuous variables between 0 and 1 with statsmodels. Because I have more features than data, I need to regularize. ...
- 131
1
vote
1
answer
82
views
Predictive model to maximize sum of dependent variable?
I am trying to classify cars for a towing company. Junky cars earn more when sent to the junkyard, and the more valuable cars should earn more at the auction, despite the auction fee. Creating a ...
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2
votes
2
answers
1k
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Can GLM( generalized linear method) handle the collinearity between the predictor variables in a regression-analysis?
I'm a beginner in Machine learning and I've studied that collinearity among the predictor variables of a model is a huge problem since it can lead to unpredictable model behaviour and a large error. ...
- 167
0
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0
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57
views
How to model a decimal response between 0 to 1 with a GLM in R
I am trying to model a response variable which is a proportion (so a response between 0 and 1, see picture for distribution).
Ideally I would like to model it without using the actual counts, so as a ...
1
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0
answers
94
views
Problem in performing LOOCV
I am trying to run LOOCV on my regression model. I tried to run it in r and encountered the following warning message:
...
- 401
1
vote
1
answer
103
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Fitting glm without explicit declaration of each covariate
When I fit a linear model with many predictor variables, I can avoid writing all of them by using . as follows:
...
- 401
1
vote
0
answers
49
views
5
votes
2
answers
135
views
How to interpret two continous variables output using GAM?
I really need help with GAM. I have to find out whether association is linear or non-linear by using GAM. The predictor variable is temperature at lag0 and the output is cardiovascular admissions (...
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1
vote
0
answers
451
views
LASSO Regression using Panel Data
I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction
...
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2
votes
1
answer
215
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Select behavior dependant with other factors and its formalization
I'm studying occurence of Behavior11, Behavior12,Behavior2,...
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1
vote
1
answer
115
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Combining outputs of ridge regression models?
I am facing an issue where I have 7 sets of different variables/columns/predictors.
I am trying to predict same target variable and I want to observe the importance/effect of all the sets according ...
1
vote
1
answer
512
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r glm - Error in names(coef) <- xnames only for 2 columns in data
I am getting the below error when i run the R code for glm():
...
- 145
4
votes
1
answer
75
views
Alternative to VGAM for Zero Truncated Negativ Binomial GLM in R
Is there an alternative to the vgam Package to do a zero truncated negativ Binomial GLM in R?
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1
vote
1
answer
80
views
Changing reference class in imbalanced data drastically affects the error rate
Working on a binary classification problem that tries to predict customer churn, the data set is imbalanced with 2000 observations of non-churn cases vs 600 observations of churn cases.
On using GLM ...
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2
votes
2
answers
1k
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How do I compare coefficients from my glm when I have more than one factor variable in my formula?
I am trying to model a binary outcome in R that has many independent variables. 5 of the Ivs are factors with more than two levels. When I try to remove the intercept it only does it for one of the ...
2
votes
1
answer
240
views
Searching interactions with RandomForest and/or GBM
I'm trying to explain a count variable and a continious variable > 0 with GLM, using R.
In order to improve the quality of the regression, I want to add some interactions that can be useful for the ...
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-1
votes
1
answer
332
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R how to find the top key parameters contribute to the response var change in two tables?
For example, if I create two tables, both contain multiple kinds of data: numeric (integer), numeric (continuous), and factor (character) like below:
...
2
votes
0
answers
38
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Outputting risk groups for a logistic regression model
I have a problem with outputting the terms for a logistic regression model in R. For a given list of independent values, say list l of terms {w,y,z} to determine dependent variable {x}, I want to ...
2
votes
0
answers
103
views
How can I use idh and random when I use hupossion in mcmcglmm?
Here is my problem: I need to use hupossion in MCMCglmm package. Here is my prior:
...
- 207
2
votes
1
answer
11k
views
Extracting model equation and other data from 'glm' function in R
I've made a logistic regression to combine two independent variables in R, using pROC package and I obtain this:
...
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3
votes
2
answers
189
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Extrapolating GLM coefficients for year a product was sold into future years?
I've fit a GLM (Poisson) to a data set where one of the variables is categorical for the year a customer bought a product from my company, ranging from 1999 to 2012. There's a linear trend of the ...
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12
votes
4
answers
15k
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Is GLM a statistical or machine learning model?
I thought that generalized linear model (GLM) would be considered a statistical model, but a friend told me that some papers classify it as a machine learning technique. Which one is true (or more ...
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