caravan insurance dataset

1-2, pp. Users analyze, extract, customize and publish statistics. Which existing customers also tend to buy the caravan mobile home insurance policy? June 22, 2000. The Caravan Insurance Challenge was posted on Kaggle with the aim in helping the marketing team of the insurance company to develop a more effective marketing strategy. We've encountered a problem, please try again. It is further divided into a training set (5822 observations) and a test set (4000 observations). If nothing happens, download GitHub Desktop and try again. There are 12,889 questions and 21,325 answers in the training set. Note: All the variables starting with M are zipcode variables. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. Recapping from the previous two posts, this post will utilise machine learning algorithms to predict customers who are mostly likely to purchase caravan policy based on 85 historic socio-demographic and product-ownership data attributes. Aman Kharwal. You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. This repository is part of the Caravan project/dataset. Caravan policies should cover you for things like fire, theft, accidental damage and weather damage. Our Products. All customers living in areas with the Leisuredays is a specialist insurance provider offering static caravan, lodge, chalet, park home and holiday home insurance. Out of the 86 attributes, two are categorical, 83 are numerical and one is the class/target variable (Caravan Insurance Purchased). Algorithmic Risk Prediction for Life Insurance Applications through supervised learning algorithms By Bharat , Dylan , Leonie and Mingdao (Jack) In this two-part series, we will describe our experience of working on the Prudential Life Insurance Dataset to predict the risk of life insurance applications using supervised learning algorithms. The sociodemographic data is derived from zip codes. Other variables are mainly sociodemographic data and product ownership and for simplicity, we treat them as numerical data. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. The first thing I'm going to do is make a copy of it as a tibble, then see what we've got. In 2018, the Census Bureau fielded a Split-Panel test of the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) to fulfill budgetary requirements for the 2087 fiscal year. Description The dataset used is from the CoIL Challenge 2000 datamining competition. 177-195, Kluwer Academic Publishers This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. Activate your 30 day free trialto continue reading. Springer-Verlag, New York. After under sampling, I used the technique of oversampling the number of success class observations in this training dataset and refitted my six classification models. Machine Learning. Exploratory Data Analysis (EDA) solution to Kaggle caravan insurance challenge on R | by Kieran Tan Kah Wang | Analytics Vidhya | Medium Write Sign up Sign In 500 Apologies, but something. The last column (Purchase) indicates whether the customer purchased a caravan insurance policy. CoIL Challenge 2000: The Insurance Company Case. There are two levels of caravan insurance for tourers and statics: New for old - If your caravan is damaged beyond repair or stolen, new for old cover will pay out the value of a brand new, equivalent model, providing the sum insured reflects the value of the caravan as new. For taking advantage of different classification algorithms and improving performance measures of my classification, I used multiple classification algorithms including Logistic Regression, K-NN classification and Nave Bayes Classification. In 2019, 14.5% of adults aged 18-64 were uninsured at the time of interview, 20.4% had public coverage, and 67.5% had private health insurance coverage. All Rights Reserved,