XG Boost

 XG Boost:

XG Boost is an advanced version of Gradient boosting method, it literally means extreme Gradient Boosting. The main aim of this algorithm is to increase the speed and efficiency of computation. The Gradient Descent boosting algorithm computes the output at a a slower rate since they sequentially analyze the data set, therefore XG boost is used to extremely boost the performance of the model.

• Parallelly creates decision trees
• Implementing distributed computing methods for evaluating large and complex models
• Using out-of -care computing to analyze huge data sets
• Implementing cache optimization to make, best use of resources.