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

Pabloc

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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.


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.


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.


If you’ve never visit the #dslivebook… here’s the home page


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