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)