From 3dce129ff918b244fda9f650f6c8e30c1c065d34 Mon Sep 17 00:00:00 2001 From: ZiwenLLL <122661917+ZiwenLLL@users.noreply.github.com> Date: Sat, 16 Dec 2023 18:41:13 -0500 Subject: [PATCH] Update README.md --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index dcd2f87..bb9eef7 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,12 @@ # PPOL-6819 Final Project: Predictive Modeling of County-level Crime Rate This is Ziwen Lu, Xuyan Xiu, and Doris Yan's final project. Please click on [GitHub Pages](https://dorisyan1122.github.io/PPOL6819-Final-Project/) for details. -Our project contains three parts: +Our project contains four parts: 1. full paper "write-up", including introduction, model and methods, results and limitations of our project; 2. geospatial mapping of average crime rate from 2009 to 2014; -3. predictive modeling of 2010 crime rate on 2016 crime rate. +3. predictive modeling of 2010 crime rate on 2016 crime rate; +4. slides for presentation. Our models are robust to predict the unseen data. Applying our model of violent crime rate on the implementation data in 2016 generates RMSE of 0.593, which means the average difference between our model's predicted values and the actual values is 0.593. Similarly, for property crime rate, the average difference between our model's predicted values and the actual values is 0.459.