Bias and Variance in Machine Learning

The key to success is finding the balance between bias and variance.

Photo by Aziz Acharki on Unsplash

In predictive analytics, we build machine learning models to make predictions on new, previously unseen samples. The whole purpose is to be able to predict the unknown. But the models cannot just make predictions out of the blue. We show some samples to the model and train it. Then we…