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

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…)

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

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!!

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