How do you know if your model is going to work? Part 4: Cross-validation techniques

Win-Vector Blog 2015-10-13

Summary:

Authors: John Mount (more articles) and Nina Zumel (more articles). In this article we conclude our four part series on basic model testing. When fitting and selecting models in a data science project, how do you know that your final model is good? And how sure are you that it’s better than the models that … Continue reading How do you know if your model is going to work? Part 4: Cross-validation techniques

Link:

http://www.win-vector.com/blog/2015/09/willyourmodelworkpart4/

From feeds:

Statistics and Visualization » Win-Vector Blog

Tags:

data science

Authors:

John Mount

Date tagged:

10/13/2015, 18:16

Date published:

09/21/2015, 17:50