How to do Feature Selection Using Feature Contribution Data

Feature contribution is a method to give a weight to each feature that reflects its impact on the model’s prediction. Feature contribution can be calculated on an entire dataset or a single data point. In our previous blog post, we showed how to visualize feature contributions to make it easy to...

From the Data Scientist’s Desk: How to Tune a Model Using Simple Analytics on the Feature Contribution Data

My story: My model looked good. It was as accurate as I wanted it to be and I was happy with it from one experiment to another. When I decided to change the test data set a bit, everything fell apart. Accuracy dropped and I had no clue why. I had to run the test again. And again. Ten tests later,...