TICEVAL2000.txt: Dataset for predictions (4000 customer records). 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 goal of the challenge was to predict customers who are interested in a caravan insurance policy. interested in buying caravan insurance and predict a model with the given 86 variable values 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. Published by Sentient Machine Research, Amsterdam. There are 2,000 questions and 3,354 answers in the validation set. Use Git or checkout with SVN using the web URL. 2000: The Insurance Company Case. Research, Amsterdam. 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. Pros and cons. Whether you own a touring caravan or a static caravan, you could be glad of having caravan insurance in place if something goes wrong. As consulted with one of my connections who is a subject matter expert with respect to insurance cross-selling, I learnt that the ratio of costs of FP to that of FN is around 1:18. Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. Energy and Digital products are not regulated by the FCA. See http://www.liacs.nl/~putten/library/cc2000/ Work fast with our official CLI. The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. June 22, 2000. Free access to premium services like Tuneln, Mubi and more. Published by Sentient Machine Research, Amsterdam. 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. cross-sellingCaravanInsuranceUsingDataMining, http://kdd.ics.uci.edu/databases/tic/dictionary.txt, http://kdd.ics.uci.edu/databases/tic/tic.html. There are a lot of factors that determine the premium of health insurance. Rented house, in the zipcode area of the customer. 2.1. [View Context].Stephen D. Bay and Dennis F. Kibler and Michael J. Pazzani and Padhraic Smyth. This is a useful insight for cross-selling the caravan policy to the existing customers of car policies and fire policies. Why not get a cheap caravan insurance quote today and see how much you can save by following our advice? - Distributed age and social class, low risk cultured conservative investors 2002. The central idea behind their target marketing being that the penetration price pricing directly influences the conversion rate. This will load the data into a variable called Caravan. So, for example, if your air conditioning motor breaks down, the insurance covers repair costs. that is required to extend Caravan to any new location for free in the cloud. We all want to keep costs low, especially in todays economic climate, and it might be tempting to let your caravan insurance lapse. Our Products. 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. Now customize the name of a clipboard to store your clips. We found that caravan insurance buyers are likely to live in wealthy area. Users analyze, extract, customize and publish statistics. 57, iss. It has the same format as TICDATA2000.txt, only the target is missing. 2000. Questions or concerns about copyrights can be addressed using the contact form. Variable 86 (<code>Purchase</code>) indicates whether the customer . Our main vision with Caravan is that this dataset will grow over time. The data contains 5822 real customer records. Out of a total of 238 actual mobile home policy customers, our model . DATA PREPARATION: Anyone, with as little as streamflow records and catchment boundaries of one (or more) basins, can contribute to extending the Caravan dataset to new regions. Our aim is to predict a customer circle who will be Science Technical Report 2000-09. Besides the basics, you can opt for policy add-ons like personal possessions cover and camping equipment cover to upgrade your policy. All datasets are in tab delimited format. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. I like this service www.HelpWriting.net from Academic Writers. TICEVAL2000.txt: Dataset for predictions (4000 customer records). 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/. Information about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Boat Rental Cleveland Flats : Cleveland Flats Then Now Is It Finally Smooth Sailing On The East Bank Collision Bend Brewing Company - / search boat rentals in cleveland, ohio. Postprocess the Earth Engine outputs locally and to combine it with streamflow, as well as to compute some additional climate indices. data mining company Sentient Machine Research. Joining a caravanning club is not just a social thing! They'll usually only cover you if you use your caravan for social, domestic or private purposes. For my first part of the analysis, I used Data Visualization and Association Rules to understand the characteristics of caravan mobile home insurance buyers. 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. October 26, 2021. How to reimage your computer in windows 7/8/10? Each record Learn more. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). 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. Now, I have calculated the profits associated with each of my models for classification cutoff values ranging from 0 to 1. The marketing department of the company knew that taking advantage of the existing customer base would improve their new insurances sale, however, the biggest question is whom to target, among the companys thousands of customers. There are 12,889 questions and 21,325 answers in the training set. The Insurance Company (TIC) Benchmark Description The data contains 5822 real customer records. 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. 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. Caravan includes meteorological forcing data . You can read the details below. A completed project by the Insurance Risk and Finance Research Centre (www.IRFRC.com) hasassembled a unique dataset from Large Commercial Risk losses in Asia-Pacific (APAC) coveringthe period 2000-2013. 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. North Wales PA 19454 Static insurance covers permanent caravans that may be used as a residence. to use Codespaces. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. - Young, family starters (1) The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. 164-167). Although they are great for meeting likeminded caravanners and enjoying your caravanning breaks in friendly groups with organised activities; being a member of one can also mean a generous discount off your caravan insurance. 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. 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 177-195, Kluwer Academic Publishers 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. The second is where the company markets to a wider consumer base with a lower penetration pricing relying to law of large numbers. "-//W3C//DTD HTML 4.01 Transitional//EN\">, Insurance Company Benchmark (COIL 2000) Data Set To access comparethemarket.com please complete the security check to prove you arehuman. CUST_SUB_LIFESTYLE_REFLECTION: As they traveled through Mexico, many made their way to the city of Tijuana, located at the border with California. The size of this file is about 1,024,817 bytes. . The dataset "Caravan.csv"contains 5822 obser- vations on 86 variables. Are you sure you want to create this branch? The data was generously contributed by one global reinsurance companyand two large Lloyd's syndicates in London. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. However, caravan insurance neednt be costly. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. North Penn Networks Limited Also a Leiden Institute of Advanced Computer 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. Lay-up cover. A global community dataset for large-sample hydrology. Updated 3 years ago. as follows There are two go to marketing strategies that COIL can use. Datasets are usually for public use, with all personally identifiable information removed to ensure confidentiality. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. A tag already exists with the provided branch name. 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. Specialist caravan insurance can also come . Caravan insurance is designed to protect your caravan against damage and theft. 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. Stay claim free. After months of planning, the caravan of immigrants began their journey from Central America to the U.S. border in October 2018. Machine Learning, October 2004, vol. The dataset that was obtained consists of 86 features, which includes insurance product usage data and social-demographic data. CoIL Challenge 2000: The Insurance Company Case. initial claims claims insurance unemployment economic development. You can load the Caravan data set in R by issuing the following command at the console data("Caravan"). Click here to review the details. We all know that making a claim on our insurance can result in our premium going up at renewal . CoIL Challenge 2000: The Insurance Company Case. This indicates that the observations with number of boat policies = 1 tend to occur together with the variable of interest Number of mobile home policies. 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. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. 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. 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. be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. 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. Safety The Caravan dataset that was released together with the paper can be found here. 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. - Senior, family men (5, 6). We classify the broad range of 86 We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. The corresponding data visualizations can be observed in the uploaded jupyter notebook. A simple alarm, for example, can save you 5% off your premium. 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. The Caravan data set is found in the ISLR R package. Here is how you do it. Security 1. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Contents Coverage Every policy has a different level of contents insurance. 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 sign in Do not sell or share my personal information, 1. existing customers and caravan mobile home insurance buyers and some corresponding general characteristics. The value of your caravan: The replacement or repair cost . You can download a CSV (comma separated values) version of the Caravan R data set. If nothing happens, download Xcode and try again. your computer will be reset to windows 10 fresh defaults. Since, this dataset was used for the purposes of a challenge, I obtained the data in the form of training data and test data, which is why, there was no need to split the data for my analysis. Registered in England No. Since, it is critical for my analysis to correctly classify success class observations, the most important performance measures to consider is sensitivity and PPV. Tap here to review the details. For more information on customizing the embed code, read Embedding Snippets. The insurance company dataset (TIC), which we mine in this paper, was used in the COIL 2000 challenge. The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. Format United States, 2020 North Penn Networks Limited. 1-2, pp. Dataset imported from https://www.r-project.org. i.e., what go to market strategies could be used in order to maximize profits. If you need to download R, you can go to the R project website. Now, I built the above six classification techniques on three separate test data frames: the unbalanced dataset, under sampled dataset and the over sampled dataset i.e., in effect, I now have performance measures of 18 different models for comparing and evaluating purposes. classes which relate to their age, social class, life style and reflection towards investing or spending The data dictionary ([Web Link]) describes the variables used and their values. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. Thirdly, the raw dataset and the feature scaled dataset . Caravan insurance can cover electrical equipment that is part of the caravan - not those bought separately. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. CoIL Challenge The training set contains over 5000 descriptions of customers, including the information of whether they have a caravan insurance policy. All customers living in areas with the 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. Clipping is a handy way to collect important slides you want to go back to later. Additionally, the cost factor associated with all my models is more important than the corresponding performance measures, as costs of False Positives and False Negatives in this business case is nowhere close to equal. Stay claim free Of course, accidents happen and they can be costly, so making a claim may be your only option, but its well worth taking extra care to ensure accidents dont happen in the first place. 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. insurance policy. This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. 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. Average age MGEMLEEF holds 6 types of values which can be categorised into three groups and are Hence, I have created different situation based recommendations associated with different sensitivity and PPV tradeoff values. Learn more. TICTGTS2000.txt Targets for the evaluation set. 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 meaning of the attributes and attribute values is given below. The first being to target a very narrow set of customers with high penetration pricing to have a very high conversion rate. Aman Kharwal. 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. The data contained a range of information on customers, which included income, age range, vehicle ownership, number of policies held, and level of contributions (premiums) paid as well as more qualitative information on lifestyle and type of households. Leisuredays is a specialist insurance provider offering static caravan, lodge, chalet, park home and holiday home insurance. A discount on your premium will be applied when you advise us that you won't be using your vehicle during specific months. We extract and analyze the raw variables with labels and try to categorize the variables based on the See "How to contribute" for more details about how to contribute to the Caravan project. Transforming classifier scores into accurate multiclass probability estimates. CUST_LEVEL_LIFECYCLE: Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. 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}. See We've encountered a problem, please try again. There was a problem preparing your codespace, please try again. A couple of those organizations include: * Insurance Information Institute * National Association of Insurance Commiss. 2.1.1. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Variable 86 (Purchase) indicates whether the customer purchased a caravan insurance policy. How To Reimage Your Computer Windows 10 - How to check the Windows 10 Creators Update is installed - How to reimage a mac computer. They give information on the distribution of that variable, e.g. The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. This type of policy is more similar to a homeowner's policy. K6255 Knowledge Discovery and Data Mining According to Public Law 113-235 Dec. 16, 2014, the Census Bureau was to "collect data for the Annual Social and Economic Supplement to the . Global businesses and organizations buy Healthcare Marketing Data from . Its static caravan cover includes public liability up to 5 million; fire, theft, storm and flood damage; accidental damage; fixtures and fittings; and keys and locks up to 500. for anyone to share extensions of Caravan to new regions. 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. Dataset contains monthly counts, from 1971 to present, of initial claims for regular unemployment insurance benefits. Activate your 30 day free trialto continue reading. The company wants to spend 10% per unit of revenue to cross selling (marketing plus penetration pricing) and achieve maximum profit by balancing cost and target numbers. [Web Link]. What is Healthcare Insurance Data Healthcare Insurance Dataset Insurance Database - MedicoReach used for? If you can store your caravan at home, make sure its behind locked gates or a drivepost that prevent thieves from towing the caravan away. The performance measures (sensitivity, specificity, recall, precision, accuracy and ROC curves) associated with all six models fitted on the unbalanced training data and predicted on unbalanced test data is provided in the jupyter notebook. The results from these allowed us to state the relationship between Analytics Vidhya is a community of Analytics and Data Science professionals. Muthu1@e.ntu.edu.sg STATISTICAL ANALYSIS Follow this guide for more information on how to share your data with the community. The dataset consists of 5822 records of customer data collected by the insurance company on 85 different socio-demographic and product-ownership data features. Variable 86 The sociodemographic data is derived from zip codes. The dataset used is from the CoIL Challenge 2000 datamining competition. It is further divided into a training set (5822 observations) and a test set (4000 observations). 0330 094 5256. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The sociodemographic data is derived from zip codes. Data for an Introduction to Statistical Learning with Applications in R, ISLR: Data for an Introduction to Statistical Learning with Applications in R. same zip code have the same sociodemographic attributes. Now, I calculated the highest profit for each of my 18 models depending on the optimal cutoff for that mode. Other variables are mainly sociodemographic data and product ownership and for simplicity, we treat them as numerical data. Machine Learning. One instance per line with tab delimited fields. To achieve reliable data results, start by balancing data correctly based on a specific business objective before training a predictive model. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. The accuracy of our model using testing dataset is 79.7% in which it's sensitivity was 81.74% and specificity 47.48%. product usage data and socio-demographic data derived from zip area codes supplied by the Dutch It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. This report is intended to understand characteristics of a caravan insurance policy buyer. 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. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. June 22, 2000. 2023 Caravan Insurance Guide is a trading name of Caravan Guard Limited (registered in England number 4036555 at New Road, Halifax, West Yorkshire, HX1 2JZ). Please 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. Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. You signed in with another tab or window. Caravan policies should cover you for things like fire, theft, accidental damage and weather damage. consists of 86 variables, containing sociodemographic data (variables 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. The data was originally supplied by Sentient Machine Research CoIL Challenge 2000: The Insurance Company Case. Health Insurance is a type of insurance that covers medical expenses. https://www.statlearning.com, OpenIntro documentation is Creative Commons BY-SA 3.0 licensed. The CPOL is our gift to the community. Please (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) There was a problem preparing your codespace, please try again. On this R-data statistics page, you will find information about the Caravandata set which pertains to The Insurance Company (TIC) Benchmark. In the previous post, we talked about using several feature selection methods like forward/backward stepwise selection and lasso regularisation to. Caravan - A global community dataset for large-sample hydrology, that was used to derive all of the data included in Caravan, and. Which existing customers also tend to buy the caravan mobile home insurance policy? The output of my association rules can be observed in associated jupyter notebook. Storage These results can be observed in my jupyter notebook. The sociodemographic data is derived from zip codes. If nothing happens, download GitHub Desktop and try again. CaSSOA is a scheme that grades storage sites as Gold, Silver and Bronze quality so look out for gold sites to give the best insurance discounts. The Caravandata set is found in the ISLRR package. representing the socio demographic, education, insurance interests and income levels of customers. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. This will load the data into a variable called Caravan. Using this analysis, I suggest situation based models to apply based on their costs and different go to market strategies. The complete dataset has 9822 rows and 86 column headings. The Code Project Open License (CPOL) 1.02. If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not Moreover, other characteristics of caravan mobile home insurance buyers generally include lower level education, Income 30,000, and Are you sure you want to create this branch? Published by Sentient Machine Research, Amsterdam. June 22, 2000. Please cite/acknowledge: P. van der Putten and M. van Someren (eds) . It appears that you have an ad-blocker running. All Rights Reserved,