Questions tagged [glm]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0 votes
0 answers
165 views

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 (...
user avatar
0 votes
0 answers
17 views

Plotting Deviance Residuals and Leverage of GLM Model Using H2O

Is it possible to plot the deviance residuals and leverage (e.g. cook's distance) of every observation fitted in a GLM model using H2O? From H2O's documentation, seems it only calculates the sum of ...
user avatar
0 votes
0 answers
17 views

H2O Python H2OModelSelectionEstimator

I want to try H2O's Model Selection function in Python, but cannot load the library for some reason. The following code failed: from h2o.estimators import H2OModelSelectionEstimator Error message: ...
user avatar
1 vote
0 answers
22 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 ...
user avatar
  • 111
1 vote
0 answers
32 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 ...
user avatar
0 votes
0 answers
65 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 ...
user avatar
1 vote
1 answer
2k 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 ...
user avatar
2 votes
0 answers
425 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. ...
user avatar
1 vote
1 answer
68 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 ...
user avatar
  • 11
2 votes
1 answer
639 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. ...
user avatar
  • 157
0 votes
0 answers
41 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 ...
user avatar
1 vote
0 answers
77 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: ...
user avatar
1 vote
1 answer
45 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: ...
user avatar
1 vote
0 answers
48 views

Select the right distribution

I have a dataset like: ...
user avatar
  • 147
5 votes
2 answers
118 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 (...
user avatar
1 vote
0 answers
311 views

LASSO Regression using Panel Data

I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction ...
user avatar
2 votes
1 answer
214 views

Select behavior dependant with other factors and its formalization

I'm studying occurence of Behavior11, Behavior12,Behavior2,...
user avatar
  • 71
1 vote
1 answer
104 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 ...
user avatar
1 vote
1 answer
434 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(): ...
user avatar
  • 145
4 votes
1 answer
65 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?
user avatar
  • 45
1 vote
1 answer
79 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 ...
user avatar
2 votes
2 answers
1k 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 ...
user avatar
2 votes
1 answer
228 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 ...
user avatar
  • 21
-1 votes
1 answer
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: ...
user avatar
2 votes
0 answers
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 ...
user avatar
2 votes
0 answers
98 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: ...
user avatar
  • 207
2 votes
1 answer
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: ...
user avatar
  • 21
3 votes
2 answers
179 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 ...
user avatar
  • 317
12 votes
4 answers
14k 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 ...
user avatar
  • 313