Data Science Live Book – Scoring, Model Performance & profiling – Update!

[This article was first published on R - Data Science Heroes Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Data Science Live Book - Scoring, Model Performance & profiling - Update! Data Science Live Book - Scoring, Model Performance & profiling - Update!

This update contains a new chapter –scoring– which is related to model performance and model deployment, used when predicting a binary outcome.

Link to the scoring chapter.

Data Science Live Book - Scoring, Model Performance & profiling - Update!

Important: To use following updates please update funModeling package 🙂

install.packages("funModeling")

Also related to predictive modelling for binary outcome, there is a new chapter based on how to compare models using the gain and lift charts.
Link to the gain and lift chapter.

Data Science Live Book - Scoring, Model Performance & profiling - Update!

Finally there is a new function, freq, which generates the common frequency analysis plus the table with the numbers.
This function can runs automatically for all the data input, and export all the images at once.

Link to the frequency function It’s at the bottom of the page.

Data Science Live Book - Scoring, Model Performance & profiling - Update!

If you’ve never visit the #dslivebook Data Science Live Book - Scoring, Model Performance & profiling - Update! here’s the home page




_First published at: http://blog.datascienceheroes.com/data-science-live-book-scoring-model-performance-profiling-update_

To leave a comment for the author, please follow the link and comment on their blog: R - Data Science Heroes Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)