Machine Learning with R by Brett Lantz
Author:Brett Lantz
Language: eng
Format: epub, pdf
Publisher: Packt Publishing
The correlation also seems to be substantially higher:
> cor(p.cubist, wine_test$quality) [1] 0.6201015
Furthermore, the model slightly reduced the mean absolute error:
> MAE(wine_test$quality, p.cubist) [1] 0.5339725
Although we did not improve a great deal beyond the regression tree, we surpassed the performance of the neural network model published by Cortez, and we are getting closer to the published mean absolute error value of 0.45 for the support vector machine model, all while using a much simpler learning method.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8063)
Hadoop in Practice by Alex Holmes(5792)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(5640)
Test-Driven Development with Java by Alan Mellor(5005)
Life 3.0: Being Human in the Age of Artificial Intelligence by Tegmark Max(4881)
Data Augmentation with Python by Duc Haba(4844)
Principles of Data Fabric by Sonia Mezzetta(4653)
Learn Blender Simulations the Right Way by Stephen Pearson(4440)
Microservices with Spring Boot 3 and Spring Cloud by Magnus Larsson(4414)
Big Data Analysis with Python by Ivan Marin(4395)
Functional Programming in JavaScript by Mantyla Dan(3874)
RPA Solution Architect's Handbook by Sachin Sahgal(3813)
The Age of Surveillance Capitalism by Shoshana Zuboff(3657)
The Infinite Retina by Robert Scoble Irena Cronin(3545)
Pretrain Vision and Large Language Models in Python by Emily Webber(3380)
Infrastructure as Code for Beginners by Russ McKendrick(3174)
Deep Learning with PyTorch Lightning by Kunal Sawarkar(3144)
Blockchain Basics by Daniel Drescher(3077)
The Rosie Effect by Graeme Simsion(2916)