Understanding Bias and Variance in Machine Learning Models
In the world of machine learning, accuracy is crucial. You strive to make your model more accurate by tuning and optimizing parameters, but you can never achieve 100% accuracy. This is the harsh reality of your prediction/classification models; they can never be zero-error. In this article, I will discuss why this happens and other methods … Read more