Supervised machine learning methods excel at predicting an outcome. But being able to predict an outcome does not mean we know how to change it, or that we should.
Why did the model predict this outcome?
Why did this outcome occur?
Why are we doing any of this?
Slides for interpretation ([PDF])
Slides for ethics ([PDF])
Notebook for interpretation methods
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Loftus (2021, Oct. 2). machine learning 4 data science: 10 From prediction to action. Retrieved from http://ml4ds.com/weeks/10-action/
BibTeX citation
@misc{loftus202110, author = {Loftus, Joshua}, title = {machine learning 4 data science: 10 From prediction to action}, url = {http://ml4ds.com/weeks/10-action/}, year = {2021} }