Questions tagged [glm]

Question 1

I have fitted a zero-inflated Poisson (ZIP) model to my count data with an excess of zeros (figure 1). Since it didn't capture the overdispersion in the data, and overdispersion is indeed ...

Question 2

I'm trying to fit a GLM with smoothness penalization and see how out-of-fold Gini behaves when increasing penalization so I could get the optimal smoothness parameter value for my model. I expected an ...

Question 3

I already have a GLM model in place to predict claims frequency. I know have access to many new variables (a mix of categorical and continuous variables, some of which are likely correlated). I wish ...

Question 4

In short, I get prediction interval smaller than confidence interval while they should be wider. Any help to understand why is certainly welcome :) Let me start by stating the problem at hand. I use a ...

Question 5

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 ...

Question 6

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 ...

Question 7

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 (...

Question 8

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 ...

Question 9

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 ...

Question 10

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 ...

Question 11

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 ...

Question 12

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. ...

Question 13

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 ...

Question 14

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. ...

Question 15

I am trying to run LOOCV on my regression model. I tried to run it in r and encountered the following warning message: ...

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Questions tagged [glm]

Why can zero-inflated generalized Poisson model not capture the overdispersion in the count data?

What are the possible reasons behind a decreasing out-of-fold Gini?

New Variables to Add to Model GLM/GBM

Prediction interval vs Confidence interval in a (Poisson) GLM (in Python)

How to choose between different models with similar results? RF, GLM and XGBoost

Interpreting interaction term coefficient in GLM/regression

NaN, inf or invalid value detected in endog, estimation infeasible error when training statsmodels GLM model

Sudden jumps in accuracy with logistic regression and bag of words : "glm.fit: algorithm did not converge"

Difficulty understanding the difference between Poisson, Quasi-Poisson, and Negative Binomial models

how to describe a decrease in sales

Error while trying glmnet() in R: "Error in storage.mode(xd) <- "double" : 'list' object cannot be coerced to type 'double'"

How to retrieve results summary from statsmodels GLM with regularization?

Predictive model to maximize sum of dependent variable?

Can GLM( generalized linear method) handle the collinearity between the predictor variables in a regression-analysis?

Problem in performing LOOCV

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