Questions tagged [glm]
The glm tag has no usage guidance.
29
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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 (...
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17
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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 ...
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17
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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:
...
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22
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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
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32
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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 ...
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65
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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 ...
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2k
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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 ...
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425
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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. ...
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1
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68
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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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639
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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. ...
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41
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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 ...
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77
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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:
...
- 359
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45
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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:
...
- 359
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48
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118
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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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311
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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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1
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214
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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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104
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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 ...
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1
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434
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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():
...
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65
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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
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79
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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
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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
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1
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228
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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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331
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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
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37
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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
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98
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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:
...
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10k
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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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179
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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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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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