What do you know about the evaluate_model() function from “statisticalmodeling” package
Answer / Durgesh Bharti
"The evaluate_model() function from the statistical modeling (statsmodels) package in R allows for the evaluation of a fitted model at new data points. It can be used to calculate predicted values, residuals, or other diagnostic statistics.nnExample:n```Rnlibrary(statsmodels)nn# Fit a linear regression modelnlin_reg <- lm(y ~ x)nn# Evaluate the model at new data pointsneval_data <- data.frame(x = c(1, 2, 3, 4))npredicted_values <- evaluate_model(lin_reg, eval_data)$fitted.values
| Is This Answer Correct ? | 0 Yes | 0 No |
Who and When R discovered?
How many types of object are present In R?
What is the use of abline() function?
How to create vectors in r?
Why should you adopt R programming language?
Why the stepaic()?
Explain how to create a list in r?
How do you check if “m” is a matrix data object in R?
What is data mining and what data miners do in R?
How can we create a table using R language without using external files?
How can you import data in r?
Explain main features to write R code that runs faster?