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 |
What is r vector?
What is R studio and how to use it?
What is meant by ANOVA models in R?
Explain how to operate on lists in r?
What are Ensemble Models in R?
What is procedural programming in r?
R programming language has several packages for data science which are meant to solve a specific problem, how do you decide which one to use?
What is a factor? How would you create a factor in r?
What is the need for Predictive Analysis in R?
What will be the output of log (-5.8) when executed on r console?
What makes a valid variable name in R?
Explain if control statements in r?