Typically, a simpler and better-performing machine learning model can be developed by removing input features (columns) from the training dataset. This is called feature selection and there are many different types of algorithms that can be used. It is possible to frame the problem of feature selection as an optimization problem. In the case that […]
The post Feature Selection with Stochastic Optimization Algorithms appeared first on Machine Learning Mastery.
Comments
Post a Comment