Machine Learning Unit 4 WEKA This document is Slides: 13 Download presentation Machine Learning Unit 4: WEKA This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Learning Outcomes Upon completion of this unit: • Students can explain the basics of WEKA. • Students will be able to demonstrate methods in WEKA. This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 What is WEKA? • WEKA in a java-based program for machine learning • Easy to use • GUI based • For quick prototyping • Not really for big data This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Basic Menu This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 The explorer This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 ARFF format This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Features or Class • Numeric Data types in Weka • Nominal This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Classifiers j 48 – decision tree This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Statistical significance This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Feature ranking Features tab Info gain /Chi-Squre And it ranks the feature This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 WEKA for cyber security This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017 Summary This document is licensed with a Creative Commons Attribution 4. 0 International License © 2017