How Neural Networks Solve the XOR Problem
Understanding Dynamic Programming
Understanding Maximum Likelihood Estimation
Understanding Fishers Linear Discriminant
Visualizing the Defective Chessboard problem
Evaluating Multi-label Classifiers
Classification is an important application of machine learning. It is a predictive modelling task that entails assigning a class label to a data point, meaning that that particular datapoint belongs to the assigned class.
In this post, we’ll be discussing how multi-label classifiers are evaluated.
This post was originally written on Medium. Head there to read more!