caravan insurance datasetcaravan insurance dataset

All customers living in areas with the 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. Each record The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought 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. 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}. I attempt to answer this question by my fast part of the analysis. Insurance companies recognise that caravan owners who join these clubs are generally more interested in looking after their caravan, and take caravan safety more seriously, so as a member you could get up to 10% with some insurers! Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). A test dataset contains another 4000 customers whose information will be used to test the effectiveness of the machine learning models. Work fast with our official CLI. 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. Caravan insurance can cover electrical equipment that is part of the caravan - not those bought separately. Australian Caravan Insurance is a specialist provider of comprehensive insurance cover for caravans, campervans, trailers, horse floats and more. The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. 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. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Insurance companies recognise that caravan owners who join these clubs are generally more interested in looking after their caravan, and take caravan safety more seriously, so as a member you could get up to 10% with some insurers! As per the current situation the company has to approach all 4000 customers with the policy. A person who has taken a health insurance policy gets health insurance cover by paying a particular premium amount. On this R-data statistics page, you will find information about the Caravandata set which pertains to The Insurance Company (TIC) Benchmark. 2000: The Insurance Company Case. Format The unique Ray ID for this page is: 7a27d02e1dc5c268. An Introduction to Statistical Learning with applications in R, The training data has 5893 observations, whereas, the test data consists of the remaining 3929 observations. based on family status and age. All customers living in areas with the same zip code have the same sociodemographic attributes. Additionally, every data that is contributed contains a separate license/info file, attributing your contribution to this project and explaining the source of license specification of this addition. [Web Link], [1] Papers were automatically harvested and associated with this data set, in collaboration 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. Activate your 30 day free trialto continue reading. Here, i'll take installation disc as an example and show you how to reimage a computer in windows 10/8/7, because this method is. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. You can download a CSV (comma separated values) version of the Caravan R data set. While searching for this topic online, you will find there are three aspects. The caravan of migrants hoping to gain entry into the United States has been the subject of much controversy in recent days. A Simple Method For Estimating Conditional Probabilities For SVMs. DATA PREPARATION: Caravan policies should cover you for things like fire, theft, accidental damage and weather damage. 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. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 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. 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. P. van der Putten and M. van Someren (eds). It insures you against things like bad weather, accidental damage, theft and vandalism. Do not sell or share my personal information, 1. How Does The First Computer Look Like - The World S First Computer With Data Storage History Daily - Input of data means to read information from a keyboard, a storage device like a hard drive, or a sensor.the computer processes or changes the data by following the instructions in software programs. 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. It is further divided into a training set (5822 observations) and a test set (4000 observations). P. van der Putten and M. van Someren. same zip code have the same sociodemographic attributes. 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. to use Codespaces. Variable 86 (Purchase) indicates whether the customer purchased a caravan insurance policy. Variable 86 Variable 86 (<code>Purchase</code>) indicates whether the customer . Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. http://www.liacs.nl/~putten/library/cc2000/ This will load the data into a variable called Caravan. A tag already exists with the provided branch name. 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. 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/. All datasets are in tab delimited format. interested in buying caravan insurance and predict a model with the given 86 variable values Get smarter at building your thing. 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 Please cite/acknowledge: P. van der Putten and M. van Someren (eds) . [Web Link]. Moreover, the unbalanced nature of this dataset required us to use sampling techniques to capture the characteristics of the success class (only 5.9% of the observations). Work fast with our official CLI. 164-167). Besides the basics, you can opt for policy add-ons like personal possessions cover and camping equipment cover to upgrade your policy. Australian Caravan Insurance is a trading brand of . This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 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. Published by Sentient Machine Registered in England No. This is a useful insight for cross-selling the caravan policy to the existing customers of car policies and fire policies. 10636682. data mining company Sentient Machine Research. You can load the Caravandata set in R by issuing the following command at the console data("Caravan"). Updated 3 years ago. Machine Learning, October 2004, vol. as follows The output of my association rules can be observed in associated jupyter notebook. 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. This analysis can be observed in the uploaded notebook. CoIL Challenge Datasets are usually for public use, with all personally identifiable information removed to ensure confidentiality. Anti-snaking devices are now becoming more common as standard on new caravans, but they can also be retro-fitted to older vans too. The . The Caravan dataset (and the corresponding manuscript) are currently under revisions. TICDATA2000.txt: Dataset to train and validate prediction models and build a description (5822 customer records). Tagged. Download: Data Folder, Data Set Description, Abstract: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. 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. comparethemarket.com is a trading name of Compare The Market Limited. 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. Thirdly, the raw dataset and the feature scaled dataset . Science Technical Report 2000-09. On this R-data statistics page, you will find information about the Caravan data set which pertains to The Insurance Company (TIC) Benchmark. Source I like this service www.HelpWriting.net from Academic Writers. The dataset used is from the CoIL Challenge 2000 datamining competition. One aspect of this is applying a customer lifetime value to each client. The data was generously contributed by one global reinsurance companyand two large Lloyd's syndicates in London. understanding of the insurance product and the product buyers. 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). 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. that is required to extend Caravan to any new location for free in the cloud. 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. By accepting, you agree to the updated privacy policy. 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. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Safety Energy and Digital products are not regulated by the FCA. 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. After months of planning, the caravan of immigrants began their journey from Central America to the U.S. border in October 2018. 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. June 22, 2000. 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. 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. Looks like youve clipped this slide to already. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. A caravan insurance policy could cover you for the following: Additional security and safe storage are great for when your caravan is not is use but what about when youre towing your caravan? Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. Lay-up cover. Since, it is critical for my analysis to correctly classify success class observations, the most important performance measures to consider is sensitivity and PPV. We extract and analyze the raw variables with labels and try to categorize the variables based on the Free access to premium services like Tuneln, Mubi and more. See "How to contribute" for more details about how to contribute to the Caravan project. Most caravan insurance companies will require some form of minimum security. Rented house, in the zipcode area of the customer. The CPOL is our gift to the community. 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. 2002. Description We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. infected with a virus or malware. CUST_LEVEL_LIFECYCLE: The sociodemographic Muthu Kumaar Thangavelu (G1101765E) This will load the data into a variable called Caravan. Use Git or checkout with SVN using the web URL. R documentation and datasets were obtained from the R Project and are GPL-licensed. References You signed in with another tab or window. This data set includes 85 predictors that measure demographic characteristics for 5,822 individuals. Out of a total of 238 actual mobile home policy customers, our model . 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. Hence, I have created different situation based recommendations associated with different sensitivity and PPV tradeoff values. The cost of a tracking device may seem too high if your caravan is several years old, but adding additional security is still beneficial. 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. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. The data contains 5822 real customer records. Our aim is to predict a customer circle who will be 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. 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. Follow this guide for more information on how to share your data with the community. Caravan - A global community dataset for large-sample hydrology, that was used to derive all of the data included in Caravan, and. 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. In 2000, a Europe insurance company that offered various insurance services including life, auto, boat insurances to a large customer faced this challenge of cross-selling where the companys newest service Caravan insurance policy turned to be disappointing in terms of sales. representing the socio demographic, education, insurance interests and income levels of customers. be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. caravan <- as_tibble(ISLR::Caravan) %>% print() 2.1.1. Tap here to review the details. 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. If you are at an office or shared network, you can ask the network administrator to run a scan across the network Here is how you do it. 95. Leisuredays is a specialist insurance provider offering static caravan, lodge, chalet, park home and holiday home insurance. Usage Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. All datasets are in tab delimited format. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. The insurance company dataset (TIC), which we mine in this paper, was used in the COIL 2000 challenge. 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 . 177-195, Kluwer Academic Publishers The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. CoIL Challenge 2000: The Insurance Company Case. The sociodemographic data is derived from zip codes. The complete dataset has 9822 rows and 86 column headings. Learn more. 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.

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