What is p value in GLM?
p-values are essentially hypothesis tests on the values of each coefficient. A high p-value means that a coefficient is unreliable (insignificant), while a low p-value suggests that the coefficient is statistically significant. You can request GLM or GAM to compute the p-values by enabling the compute_p_values option.
What is a link function in GLM?
A link function in a Generalized Linear Model maps a non-linear relationship to a linear one, which means you can fit a linear model to the data. More specifically, it connects the predictors in a model with the expected value of the response (dependent) variable in a linear way.
How to interpret the output of a GLM?
It would be good to first understand the output of the simpler linear regression model (your glm is just an adaptation of that model to a classification problem) Check my answer to this question Beginner : Interpreting Regression Model Summary
Which is an example of a GLM model in R?
In R, a family specifies the variance and link functions which are used in the model fit. As an example the “poisson” family uses the “log” link function and “ μ μ ” as the variance function. A GLM model is defined by both the formula and the family.
How to interpret the LM ( ) function output?
It interprets the lm () function output in summary (). About glm, info in this page may help. Additionally, AIC is an estimate of a constant plus the relative distance between the unknown true likelihood function of the data and the fitted likelihood function of the model, so that a lower AIC means a model is considered to be closer to the truth.
What does lower AIC mean for GLM model?
About glm, info in this page may help. Additionally, AIC is an estimate of a constant plus the relative distance between the unknown true likelihood function of the data and the fitted likelihood function of the model, so that a lower AIC means a model is considered to be closer to the truth.