Comparison-of-Classification-Models-for-Road-Accident-High-Severity-Prediction-GB-2019

Final Project for Higher Diploma in Data Analytics at National College of Ireland

Getting Started

First of all, the data sources can be downloaded from:

• Road Safety Data - Accidents GB 2019: https://data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data

Prerequisites

In order to run the code the following libraries are needed:

library(dplyr)
library(lubridate) 
library(ggpubr)
library(cowplot) 
library(praznik)
library(psych)
library(FactoMineR) 
library(factoextra) 
library(caret) 
library(randomForest)
library(tidyverse)    
library(kernlab)      
library(e1071)        
library(fastDummies)
library(dummies) 
library(class) 
library(psych)
library(naniar)
library(rpart)
library(rpart.plot)
require(caTools)
library(ipred) 
library(rattle)
library(DMwR) #smote
library(unbalanced) 
library(vcd) 
library(gmodels)
library(descr)
library(GoodmanKruskal)
library(greybox)
library(lsr)
library(DataExplorer)
library(mlbench)     
library(dplyr)       
library(broom)       
library(visreg)      
library(margins)     
library(rcompanion)  
library(ROCR)        
library(FSelector)  
library(corrplot)    
library(Boruta)     
library(caret)
library(rpart)
library(RRF)
library(glmnet)      
library(DMwR)        
library(car)
library(ISLR)
library(caret)