Assessing and Improving Prediction and Classification

Book Name: Assessing and Improving Prediction and Classification
Author: Timothy Masters
Publisher: Apress
ISBN-10: 1484233352
Year: 2017
Pages: 517
Language: English
File size: 5.3 MB
File format: PDF

Assessing and Improving Prediction and Classification Pdf Book Description:

Evaluate the level of your classification and prediction models in a way that accurately reflect their real life operation, then improve this performance utilizing advanced algorithms like committee-based decision making, resampling that the dataset, and fostering. This publication presents many significant methods for building strong, robust versions and measuring their expected behaviour when set to work on your program.

This demonstration of an often perplexing subject prevents advanced math, focusing rather on concepts readily understood by people who have modest background in math. All calculations incorporate an intuitive explanation for performance, essential equations, references to stricter concept, and commented C++ origin code. A number of these methods are recent improvements, but still not in widespread usage. Others are regular calculations given a brand new appearance. In each instance, the emphasis will be on practical applicability, together with all code composed in such a manner it may readily be included in any application.