Ensure loan fairness - IBM Developer

During the training of machine learning models, data scientists have observed that the model can include some type of bias. Due to the black box nature of the training process, these biases are difficult to root out. The AI Fairness 360 toolkit offers a way to identify and quantify these biases, as well as a path for remediation. This code pattern explains how the AI Fairness 360 toolkit can help you identify and quantify bias in machine learning model training. A machine learning model makes predictions of an outcome for a particular instance.