caravan insurance dataset

However, caravan insurance neednt be costly. and was used in the CoIL Challenge 2000. Hence, I have created different situation based recommendations associated with different sensitivity and PPV tradeoff values. How to reimage your computer in windows 7/8/10? By accepting, you agree to the updated privacy policy. Toggle navigation. Stay claim free. Caravan Insurance Challenge Data Card Code (40) Discussion (2) About Dataset This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. Caravan Insurance Dataset Description - Coachman 565 Touring Caravan in Stirlingshire (#106144 ) - Caravan insurance data mining assignmentk6225 knowledge discovery and data mining by, sesagiri raamkumar aravind(g1101761f) thangavelu muthu kumaar(g1101765e) page 1 of 11.. Lv= caravan insurance could offer you a 10% discount if you're an . We extract and analyze the raw variables with labels and try to categorize the variables based on the A caravan insurance policy could cover you for the following: Using this analysis, I suggest situation based models to apply based on their costs and different go to market strategies. Published by Sentient Machine Research, Amsterdam. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. 0330 094 5256. 57, iss. June 22, 2000. cross-sellingCaravanInsuranceUsingDataMining, http://kdd.ics.uci.edu/databases/tic/dictionary.txt, http://kdd.ics.uci.edu/databases/tic/tic.html. 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. The data contains 5822 real customer records. This will load the data into a variable called Caravan. Each record consists of 86 attributes, containing sociodemographic data (attribute 1-43) and product ownership (attributes 44-86).The sociodemographic data is derived from zip codes. 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 What is Healthcare Insurance Data Healthcare Insurance Dataset Insurance Database - MedicoReach used for? Further information on the individual variables can be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. Published by Sentient Machine Research, Amsterdam. CoIL Challenge 2000: The Insurance Company Case. https://www.statlearning.com, Information about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. 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. Australian Caravan Insurance is a trading brand of . Cross-selling is one of the most successful techniques of marketing in the modern days where a company aims at selling additional products/services among existing customers. The Caravan dataset (and the corresponding manuscript) are currently under revisions. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. CoIL Challenge Besides the basics, you can opt for policy add-ons like personal possessions cover and camping equipment cover to upgrade your policy. United States, 2020 North Penn Networks Limited. 4.6.6: An Application to Caravan Insurance Data Let's see how the KNN approach performs on the Caravan data set, which is part of the ISLR package. You can read the details below. We've seen all sorts of makes, models, designs and modifications over the years. Australian Caravan Insurance is a specialist provider of comprehensive insurance cover for caravans, campervans, trailers, horse floats and more. Even if youve never towed on public roads before, bonuses are often available for caravanners who take towing courses and additional instruction, making them statistically safer drivers when theyre towing a caravan. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). Note: All the variables starting with M are zipcode variables. There was a problem preparing your codespace, please try again. The performance measures of these models on over sampled data can be found in the jupyter notebook. Looks like youve clipped this slide to already. See "How to contribute" for more details about how to contribute to the Caravan project. The Caravan data set is found in the ISLR R package. for anyone to share extensions of Caravan to new regions. CUST_LEVEL_LIFECYCLE: ANALYZING AND CATEGORIZING THE VARIABLES: The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Answer: I'm not quite sure what you mean by "open datasets" but I would start with calling the major organizations that gather and disburse insurance statistical information. Further information on the individual variables can All datasets are in tab delimited format. All customers living in areas with the same zip code have the same sociodemographic attributes. 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 meaning of the attributes and attribute values is given below. to use Codespaces. Transforming classifier scores into accurate multiclass probability estimates. Compare The Market Limited is authorised and regulated by the Financial Conduct Authority for insurance distribution (Firm Reference Number: 778488). 1-2, pp. For my later part of the analysis, I used the aforementioned classification models to devise an optimal go to market strategy depending on. Follow to join The Startups +8 million monthly readers & +768K followers. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. The reason there is a gap, though, is. There was a problem preparing your codespace, please try again. (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) Business purposes are excluded. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The unique Ray ID for this page is: 7a27d02e1dc5c268. Download: Data Folder, Data Set Description, Abstract: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. TICTGTS2000.txt Targets for the evaluation set. This type of policy is more similar to a homeowner's policy. 164-167). Caravan insurance can cover electrical equipment that is part of the caravan - not those bought separately. You might need to make adjustments . Use Git or checkout with SVN using the web URL. As per the current situation the company has to approach all 4000 customers with the policy. interested in buying caravan insurance and predict a model with the given 86 variable values 2000: The Insurance Company Case. The size of this file is about 1,024,817 bytes. These results can be observed in my jupyter notebook. Leisuredays is a specialist insurance provider offering static caravan, lodge, chalet, park home and holiday home insurance. To get an understanding of the features and data types associated with these features, I have included summary of the dataset and sample of the dataset in my Jupyter notebook document. This might have been done to utilize all the observations and at the same time, keep the number of rows in the dataset to be manageable. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. Once insured you will be able to build your caravanning no claims bonus and thus discount this could get you up to 20% off a quote for three years claim free caravanning. (Purchase) indicates whether the customer purchased a caravan TICEVAL2000.txt: Dataset for predictions (4000 customer records). Out of the 86 attributes, two are categorical, 83 are numerical and one is the class/target variable (Caravan Insurance Purchased). A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. MedicoReach recommends using the data for Marketing, Lead Generation, B2B Marketing, Direct Marketing, and B2B Lead Retargeting. https://github.com/google/eng-edu/blob/main/ml/cc/exercises/linear_regression_with_a_real_dataset.ipynb Remember, caravan insurance covers you for more than just the caravan itself. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) 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. Due to large number of features, it is infeasible to show the data dictionary or a data sample in this document, however, the data dictionary can be obtained from - http://kdd.ics.uci.edu/databases/tic/dictionary.txt and the complete dataset can be obtained from - http://kdd.ics.uci.edu/databases/tic/tic.html. There are 12,889 questions and 21,325 answers in the training set. 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 The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. A simple alarm, for example, can save you 5% off your premium. Examples, The data contains 5822 real customer records. 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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. OpenIntro documentation is Creative Commons BY-SA 3.0 licensed. For more information on customizing the embed code, read Embedding Snippets. The value of your caravan: The replacement or repair cost . The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. [View Context].Stephen D. Bay and Dennis F. Kibler and Michael J. Pazzani and Padhraic Smyth. 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}. 2.1. Question: Consider 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. Most caravan insurance companies will require some form of minimum security. We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. Data for an Introduction to Statistical Learning with Applications in R, ISLR: Data for an Introduction to Statistical Learning with Applications in R. June 22, 2000. The sociodemographic data is derived from zip codes. This dataset is not set up as individual customer observations and each row represents a group of customers i.e., a large sample size. The cost of a tracking device may seem too high if your caravan is several years old, but adding additional security is still beneficial. Firstly, the Health Cost Insurance dataset is extracted from UCI machine repository and the data is preprocessed along with exploratory data analysis. Are you sure you want to create this branch? All customers living in areas with the same zip code have the same sociodemographic attributes. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com, Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. - Middle and Upper Class, middle aged and senior citizens, high risk cultured liberal investors (8, 9, Format Aman Kharwal. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. Please Our Products. Muthu Kumaar Thangavelu (G1101765E) I like this service www.HelpWriting.net from Academic Writers. Do not sell or share my personal information, 1. Gamehunters Free Chips Wsop : Wsop Free Redeem Codes - Click here wsop players note : Allintitle:aspx Allintitle:mcleak + 15 ?Play= / Allintitle Aspx Allintitle Mcleak 15 Play Minecraft Mk120 Allintitle Aspx Title Allintitle Aspx Allintitle Mcleak 15 Play Allintitle Viona Aini / As the world's premiere early childhood development program, the little gym partners with parents to empower children for life's adventures. Tap here to review the details. Storing your caravan in a sensible place will also give you peace of mind as well as possible discounts off your annual caravan insurance. However, numerous efforts and solutions are already in place for answering this question, I tend to focus more on my second part of the analysis, which is devising a go to market strategy. - Distributed age and social class, low risk cultured conservative investors June 22, 2000. The dataset used is from the CoIL Challenge 2000 datamining competition. Now, I calculated the highest profit for each of my 18 models depending on the optimal cutoff for that mode. Stay claim free initial claims claims insurance unemployment economic development. The six classification models built on the unbalanced data tend to give a very high accuracy due to classifying almost all non-success class observations correct (which is the majority 95%), however, the unbalanced nature of this dataset does not allow any of these models to learn the characteristics of the success class observations. 10636682. - Senior, family men (5, 6). It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. 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. 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. 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 data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. I attempt to answer this question by my fast part of the analysis. See A discount on your premium will be applied when you advise us that you won't be using your vehicle during specific months. Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. If you need to download R, you can go to the R project website. Safety A couple of those organizations include: * Insurance Information Institute * National Association of Insurance Commiss. 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. For details on the references, see the information included in the licenses folder of the Caravan dataset, If you have any questions/feedback regarding the Caravan dataset/project, please contact Frederik Kratzert kratzert(at)google.com. insurance policy. variables to significant predictors as below The Insurance Company (TIC) Benchmark Description The data contains 5822 real customer records. Variable 86 (Purchase) indicates whether the customer purchased a caravan insurance policy. You signed in with another tab or window. 1-43) and product ownership (variables 44-86). The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. Learn more. Free access to premium services like Tuneln, Mubi and more. If they approach all the customers they have to divide the marketing budget between of them, effectively reducing the discounts they can offer to individual customers leading to lower conversion rate. 1. Caravan insurance data mining statistical analysis, Product Planning Manager, Oncology & Hospital Specialty Care Marketing at MSD. You signed in with another tab or window. R documentation and datasets were obtained from the R Project and are GPL-licensed. The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. Source It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. References Variable 86 (<code>Purchase</code>) indicates whether the customer . [Web Link]. Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. InsuranceQA is a question answering dataset for the insurance domain, the data stemming from the website Insurance Library. The data contains 5822 real customer records. The data consists of 86 variables and includes product usage data and socio-demographic data, Original Owner and Donor: Peter van der Putten Sentient Machine Research Baarsjesweg 224 1058 AA Amsterdam The Netherlands +31 20 6186927 pvdputten '@' hotmail.com, putten '@' liacs.nl TIC Benchmark Homepage: http://www.liacs.nl/~putten/library/cc2000/. The results from these allowed us to state the relationship between Epgp09 10 - term v - prm - group ii - pricing in-insurance_industry - project Profiling banking customers - Insurance and Pension Products, Caravan insurance data mining prediction models, Nano Based Polymers and Applications in Drug Delivery, 2017 Top Issues - Changing Business Models - January 2017. 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. that is required to extend Caravan to any new location for free in the cloud. Secondly, the anova test is applied to verify the features with Probability of F-Statistic PR(>F) < 0.05 that highly influence the Target. CoIL Challenge 2000: The Insurance Company Case. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. Considering the nature of decisions made on this data, I can maximize profit by recommending one of the two market strategies. Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York. This will load the data into a variable called Caravan. Recitation of Public and Private Sector General Insurance Industry in Structu Vivekanandha College of arts and Science for Women (Autonomous). A tag already exists with the provided branch name. Also a Leiden Institute of Advanced Computer Dataset with 16 projects 1 file 1 table. The dataset "Caravan.csv"contains 5822 obser- vations on 86 variables. This indicates that models that might have low accuracy but with low overall costs are selected over models with high accuracy but high overall costs. Security The last column (Purchase) indicates whether the customer purchased a caravan insurance policy. Test your data mining algorithm to predict who will buy caravan insurance policy The Insurance Company (TIC) Benchmark Data Card Code (6) Discussion (0) About Dataset This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. Bianca Zadrozny and Charles Elkan. So, for example, if your air conditioning motor breaks down, the insurance covers repair costs. 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. Our main vision with Caravan is that this dataset will grow over time. A data frame with 5822 observations on 86 variables. based on family status and age. CS Department, AI Unit Dortmund University. Note that the confidence of this rule is 1, however, given the unbalanced nature of this dataset, the best support I could obtain was around 0.0012. It appears that you have an ad-blocker running. The "insurance protection gap" totalled $84bn in uninsured losses (compared to $56bn) in 2019 according to Swiss Re so there is a lot of untapped potential. Dataset imported from https://www.r-project.org. 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. Learn more. http://www.liacs.nl/~putten/library/cc2000/ Microsoft's T. Caravan Insurance Dataset Description - Coachman 565 Touring Caravan in Stirlingshire (#106144 ) - Caravan insurance data mining assignmentk6225 knowledge discovery and data mining by, sesagiri raamkumar aravind(g1101761f) thangavelu muthu kumaar(g1101765e) page 1 of 11. Users analyze, extract, customize and publish statistics. 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. Specialist caravan insurance can also come . The data was generously contributed by one global reinsurance companyand two large Lloyd's syndicates in London. We found that caravan insurance buyers are likely to live in wealthy area. If its not possible to store your caravan at home, consider a secure storage site one thats got high fencing around the perimeter, access control and CCTV. representing the socio demographic, education, insurance interests and income levels of customers. Analytics Vidhya is a community of Analytics and Data Science professionals. P. van der Putten and M. van Someren. Married observations. The data dictionary ([Web Link]) describes the variables used and their values. This repository is part of the Caravan project/dataset. On this R-data statistics page, you will find information about the Caravan data set which pertains to The Insurance Company (TIC) Benchmark. Caravan Guard Limited is authorised and regulated by the Financial Conduct Authority (FCA). Description data is derived from zip codes. Published by Sentient Machine 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. Here is how you do it. Devices such as the AL-KO ATC or BPW IDC offer extra stability when towing and breaking, meaning youre less likely to experience snaking which can lead to a catastrophic and costly accident. Anti-snaking devices are now becoming more common as standard on new caravans, but they can also be retro-fitted to older vans too. Pros and cons. Participants are supposed to return the list of predicted targets only. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. The training set contains over 5000 descriptions of customers, including the information of whether they have a caravan insurance policy. Storage Muthu1@e.ntu.edu.sg TICEVAL2000.txt: Dataset for predictions (4000 customer records). They'll usually only cover you if you use your caravan for social, domestic or private purposes. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Please enable Cookies and reload the page. It insures you against things like bad weather, accidental damage, theft and vandalism. We've encountered a problem, please try again. Participants are supposed to return the list of predicted targets only. Springer-Verlag, New York. INTRODUCTION: The goal of the challenge was to predict customers who are interested in a caravan insurance policy. It is further divided into a training set (5822 observations) and a test set (4000 observations). 177-195, Kluwer Academic Publishers We combined the training and test dataset for my initial data exploration and visualization, however, for fitting my models, I used the given training data and evaluated the performance measures on the given test data. One of techniques used to handle this unbalance was to under sample the number of non-success class observations in the training dataset, while another approach to solving this problem was to over sample the number of success class observations in the training dataset. Variable 86 Machine Learning, October 2004, vol. All Rights Reserved,