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

October 17, 2016
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(This article was first published on R - Data Science Heroes Blog, and kindly contributed to R-bloggers)

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

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


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Data Science Live Book - Scoring, Model Performance & profiling - Update!
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First published at: http://blog.datascienceheroes.com/data-science-live-book-scoring-model-performance-profiling-update

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