1. Classification, Clustering and Bayes…
Peter Fox and Greg Hughes
Data Analytics – ITWS-4600/ITWS-6600
Group 2 Lab 2, February 16, 2017

2. Assignments to come
Term project (A6). Due – end of term. 30% (25% written, 5% oral; individual). Available before spring break.
Assignment 7: Predictive and Prescriptive Analytics. Due ~ week ~ 11/12. 15% (written; individual);
Assignment 5: presentations will be held the week before spring break (formats to be discussed…)

3. Plot tools/ tips
More script fragments on the web site (aquarius.tw.rpi.edu/html/DA ) also continue labs from week 4 and 5 as well as those here… Default naiveBayes is library(e1071) Tip: Resetting plot space: par(mfrow=c(1,1)) par()$mar # to view margins par(mai=c(0.1,0.1,0.1,0.1)) Assignment 4 and 5 on the course website

4. Do over…
Make sure that you get to the “bronx” dataset and group2/lab1_bronx1.R and lab1_bronx2.R script fragments
You need it for A4!!

5. Today on web under group2/
lab2_abalone.R lab2_kknn1.R lab2_nbayes1.R lab2_nbayes2.R lab2_nbayes3.R lab2_nbayes4.R lab2_swiss.R