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Lab: Decision Trees, Cross-validation

In this lab session (Week 11b of ITWS-4963/ITWS-6965), led by Peter Fox, we delve into Decision Trees and the intricacies of Cross-Validation methods, particularly K-fold validation. Students will explore the cvTools scripts to analyze output and interpret results effectively. Administrative details, including class timings, instructor contact information, and TA details, are also provided. Assignment 7 will be introduced next Tuesday, enhancing your practical understanding of these essential data analytics concepts.

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Lab: Decision Trees, Cross-validation

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  1. Lab: Decision Trees, Cross-validation Peter Fox Data Analytics – ITWS-4963/ITWS-6965 Week 11b, April 11, 2014

  2. Scripts in the usual place Lab 11b_{1-18}_2014.R - yes there are a lot, but much repetition in the cvTools scripts. • Work through them and we’ll cover output/ results and interpretation next Tuesday Cross-validation (lots) – remember: • K-fold Assignment 7 will be available next Tue.

  3. Admin info (keep/ print this slide) • Class: ITWS-4963/ITWS 6965 • Hours: 12:00pm-1:50pm Tuesday/ Friday • Location: SAGE 3101 • Instructor: Peter Fox • Instructor contact: pfox@cs.rpi.edu, 518.276.4862 (do not leave a msg) • Contact hours: Monday** 3:00-4:00pm (or by email appt) • Contact location: Winslow 2120 (sometimes Lally 207A announced by email) • TA: Lakshmi Chenicheri chenil@rpi.edu • Web site: http://tw.rpi.edu/web/courses/DataAnalytics/2014 • Schedule, lectures, syllabus, reading, assignments, etc.

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