Questions tagged [glm]
The glm tag has no usage guidance.
28
questions
1
vote
0answers
17 views
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 ...
0
votes
0answers
6 views
Speed up convergence of GLM fitting in custom GLM code (using GD)
So, I've got a little bit of an unusual situation. I do ML on encrypted data, and the ecosystem there is relatively young, so I have to build my own infrastructure, and there are certain restrictions ...
1
vote
0answers
22 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 ...
0
votes
0answers
35 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
1answer
1k views
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 ...
0
votes
0answers
75 views
Residual Deviance in GLM Output in Python vs. R
I am coming from R to Python for econometrics. In R, in case of fitting a logistic regression with glm, the output summary would include the result of test of the proposed model against the saturated ...
1
vote
0answers
237 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. ...
1
vote
1answer
59 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 ...
2
votes
1answer
388 views
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. ...
0
votes
0answers
29 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
vote
0answers
69 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:
...
1
vote
1answer
35 views
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:
...
1
vote
0answers
48 views
5
votes
2answers
103 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 (...
1
vote
0answers
290 views
LASSO Regression using Panel Data
I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction
...
2
votes
1answer
214 views
Select behavior dependant with other factors and its formalization
I'm studying occurence of Behavior11, Behavior12,Behavior2,...
1
vote
1answer
88 views
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
1answer
385 views
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():
...
4
votes
1answer
64 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?
1
vote
1answer
74 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 ...
2
votes
2answers
993 views
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
1answer
209 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 ...
-1
votes
1answer
331 views
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
0answers
37 views
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
0answers
97 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:
...
2
votes
1answer
10k 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:
...
3
votes
2answers
157 views
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 ...
12
votes
4answers
13k views
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 ...
