This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. R documentation and datasets were obtained from the R Project and are GPL-licensed. If youre looking to reduce the cost of your caravan insurance year after year, the easiest way to do this is to fit extra security to your caravan. This data set includes 85 predictors that measure demographic characteristics for 5,822 individuals. Muthu1@e.ntu.edu.sg Each record Introductory bonuses A simple alarm, for example, can save you 5% off your premium. The Caravan dataset that was released together with the paper can be found here. 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. Club membership 177-195, Kluwer Academic Publishers be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. for anyone to share extensions of Caravan to new regions. Machine Learning, October 2004, vol. Using this analysis, I suggest situation based models to apply based on their costs and different go to market strategies. It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. comparethemarket.com is a trading name of Compare The Market Limited. This is usually a hitchlock and a wheel clamp. Tagged. There are a lot of factors that determine the premium of health insurance. The meaning of the attributes and attribute values is given below. sign in Contents Coverage Every policy has a different level of contents insurance. The accuracy of our model using testing dataset is 79.7% in which it's sensitivity was 81.74% and specificity 47.48%. A test dataset contains another 4000 customers whose information will be used to test the effectiveness of the machine learning models. These results along with other performance measures and ROC curves for my classification models on the under sampled data can be found in the jupyter notebook. CUST_LEVEL_LIFECYCLE: Now, I have calculated the profits associated with each of my models for classification cutoff values ranging from 0 to 1. Free access to premium services like Tuneln, Mubi and more. If R says the Caravan data set is not found, you can try installing the package by issuing this command install.packages("ISLR") and then attempt to reload the data. This is something that should be kept in mind and taken care of when using this rule. So, for example, if your air conditioning motor breaks down, the insurance covers repair costs. 2000. Note that the most significant part of my analysis is to identify the success class observations correctly, and hence, the two most important performance features for us are PPV and sensitivity. If nothing happens, download GitHub Desktop and try again. Average age MGEMLEEF holds 6 types of values which can be categorised into three groups and are The data contains 5822 real customer records. classes which relate to their age, social class, life style and reflection towards investing or spending http://www.liacs.nl/~putten/library/cc2000/ P. van der Putten and M. van Someren (eds) . This is a useful insight for cross-selling the caravan policy to the existing customers of car policies and fire policies. For my later part of the analysis, I used the aforementioned classification models to devise an optimal go to market strategy depending on. ANALYZING AND CATEGORIZING THE VARIABLES: The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. The . (1,6,7,10,11,14,16,17,18,19,20,21,22,24,26,28,29,30,31,32,33,34,35,37,38,39,40,41) Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. The data contains 5822 real customer records. 1-2, pp. The CPOL is our gift to the community. Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. Specialist caravan insurance can also come . TICDATA2000.txt: Dataset to train and validate prediction models and build a description (5822 customer records). Estimates on this page are derived from the Household Pulse Survey and show the percentage of adults aged 18-64 years who were uninsured at the time of the interview or had public or private . Do not sell or share my personal information, 1. The dataset we used consists of 9,822 customer records and includes sociodemographic data of the area where a customer lives and product ownership data of the customer. Storing your caravan in a sensible place will also give you peace of mind as well as possible discounts off your annual caravan insurance. Looks like youve clipped this slide to already. "-//W3C//DTD HTML 4.01 Transitional//EN\">, Insurance Company Benchmark (COIL 2000) Data Set We extract and analyze the raw variables with labels and try to categorize the variables based on the CoIL Challenge 2000: The Insurance Company Case. Safety The insurance company dataset (TIC), which we mine in this paper, was used in the COIL 2000 challenge. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. When your caravan is being towed, your car insurance policy often only extends to third party cover, so any damage to the caravan itself would be covered under your caravan insurance. Data is (c) Sentient Machine Research 2000 This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. A couple of those organizations include: * Insurance Information Institute * National Association of Insurance Commiss. Are you sure you want to create this branch? The sociodemographic For more information on customizing the embed code, read Embedding Snippets. The Code Project Open License (CPOL) is intended to provide developers who choose to share their code with a license that protects them and provides users of their code with a clear statement regarding how the code can be used. This visualization can be observed in the notebook and I see that my model logistic regression on the unbalanced dataset turns out to be the most profitable model out of the all 18 models at an optimal cutoff value. to use Codespaces. Caravan: The Insurance Company (TIC) Benchmark In ISLR: Data for an Introduction to Statistical Learning with Applications in R DescriptionUsageFormatSourceReferencesExamples Description The data contains 5822 real customer records. consists of 86 variables, containing sociodemographic data (variables Other variables are mainly sociodemographic data and product ownership and for simplicity, we treat them as numerical data. This report is intended to understand characteristics of a caravan insurance policy buyer. 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. The code provided in this dataset can be used to: The generated output is already in a folder structure that can be easily integrated into the existing dataset. Follow this guide for more information on how to share your data with the community. On this R-data statistics page, you will find information about the Caravandata set which pertains to The Insurance Company (TIC) Benchmark. Caravan includes meteorological forcing data . The PPV and sensitivity for all my models are compared in a graph in the jupyter notebook and since there is no clear winning model in terms of both, sensitivity and PPV, I recommend two different strategies based on the selected tradeoff between PPV and sensitivity. The first thing I'm going to do is make a copy of it as a tibble, then see what we've got. TICEVAL2000.txt: Dataset for predictions (4000 customer records). If you use the Caravan dataset in your research/work, the recommended citation is: Additionally, we would highly appreciated if you also cite the corresponding manuscripts of the source datasets. Additionally, Caravan provides code to derive meteorological forcing data and catchment attributes in the cloud, making it easy for anyone to extend Caravan to new catchments. Storage We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. I like this service www.HelpWriting.net from Academic Writers. InsuranceQA is a question answering dataset for the insurance domain, the data stemming from the website Insurance Library. Registered Office: Pegasus House, Bakewell Road, Orton Southgate, Peterborough, PE2 6YS. North Penn Networks Limited data mining company Sentient Machine Research. Dataset imported from https://www.r-project.org. Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. Customer sub type MOSTYPE variable has 41 value types which can be categorised under two broad The reason there is a gap, though, is. A lot of new caravans are fitted with an AL-KO axle wheel lock receiver, so purchasing the locking part for this is an excellent alternative to a separate wheel clamp and will give a superb level of security. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. Taking some extra precautions can reduce your premium considerably, so read on for our top tips to keep your insurance as cheap as possible. Participants are supposed to return the list of predicted targets only. June 22, 2000. They give information on the distribution of that variable, e.g. CS Department, AI Unit Dortmund University. The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. Published by Sentient Machine Machine Learning. The size of this file is about 1,024,817 bytes. It insures you against things like bad weather, accidental damage, theft and vandalism. 177-195, Kluwer Academic Publishers The Caravan data set is found in the ISLR R package. Download: Data Folder, Data Set Description, Abstract: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. However, caravan insurance neednt be costly. MAPPING TARGET VARIABLES AS PREDICTORS OF CARAVAN INSURANCE BUYERS: These predictions have been made with descriptive statistics results of the data set along with the real world logical themes (Appendix-1) FACTOR 1: AGE Middle aged people are more likely to get caravan insurance FACTOR 2: ATTITUDE TOWARDS SPENDING/ BUYING People with a liberal based on family status and age. The Caravan dataset (and the corresponding manuscript) are currently under revisions. For my first part of the analysis, the initial data visualizations indicate that the buyers of caravan mobile home insurance policies also tend to buy car policies and fire policies. Club Care's Caravan Insurance covers your contents and equipment too plus personal injury, public liability, loss of use and accidental damage, theft and fire - so it's well worth the investment. Additionally, my results from association rules gives the best rule to be {Avg_age=3, Social_class_B2=3, Number_of_boat_policies=1} -> {Number_of_mobile_home_policies=1}. 2. The first 43 attributes are demographic and social data, whereas, the remaining 43 variables are insurance product usage related data which indicate customers of the companys existing policies such as fire, boat, life, etc. Anti-snaking devices are now becoming more common as standard on new caravans, but they can also be retro-fitted to older vans too. Are you sure you want to create this branch? MedicoReach recommends using the data for Marketing, Lead Generation, B2B Marketing, Direct Marketing, and B2B Lead Retargeting. The corresponding data visualizations can be observed in the uploaded jupyter notebook. Leisuredays is a specialist insurance provider offering static caravan, lodge, chalet, park home and holiday home insurance. We all know that making a claim on our insurance can result in our premium going up at renewal . You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. Usage There are two go to marketing strategies that COIL can use. as follows You might need to make adjustments . The data set contains information on customers of an insurance company which includes the The Caravandata set is found in the ISLRR package. Springer-Verlag, New York. A tag already exists with the provided branch name. - Senior, family men (5, 6). Machine Learning, October 2004, vol. The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. - Middle and Upper Class, middle aged and senior citizens, high risk cultured liberal investors (8, 9, Following Amelia, let's look at the ISLR Caravan example (pp. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. that is required to extend Caravan to any new location for free in the cloud. Science Technical Report 2000-09. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Please You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. Insurance datasets - risk assessment & location data for accurate pricing Data Guide Insurance Data Guide > industry > Insurance Back Insurance Write profitable business with the most accurate location data for insurance Detect risk that others miss Pinpoint pockets of opportunity and better understand risk Provide accurate and competitive pricing 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. Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. Besides the basics, you can opt for policy add-ons like personal possessions cover and camping equipment cover to upgrade your policy. All Rights Reserved,