How to Find Weaknesses in your Machine Learning Models

How to Find Weaknesses in Your Machine Learning Models

A possible implementation of IBM’s FreaAI

Any time you simplify data using a summary statistic, you lose information. Model accuracy is no different. When simplifying your model’s fit to a summary statistic, you lose the ability to determine where your performance is lowest/highest and why.

Figure 1: lowest accuracy decision tree trained using a POC of IBM’s FreaAI. Image by author.

In this post we discuss the code behind IBM’s FreaAI …

data science decision-tree deep learning forecasting learning machine machine learning machine learning models