The sociodemographic data is derived from zip codes. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. All customers living in areas with the same zip code have the same sociodemographic attributes. See Joining a caravanning club is not just a social thing! Download: Data Folder, Data Set Description, Abstract: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. 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. Questions or concerns about copyrights can be addressed using the contact form. We extract and analyze the raw variables with labels and try to categorize the variables based on the Out of a total of 238 actual mobile home policy customers, our model . STATISTICAL ANALYSIS Caravan Insurance - The Camping and Caravanning Club The purpose of this repository is twofold: See "Extend Caravan" for a detailed description about how to extend Caravan to any new region/basin with the code provided in this repository. InsuranceQA is a question answering dataset for the insurance domain, the data stemming from the website Insurance Library. It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. interested in buying caravan insurance and predict a model with the given 86 variable values A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. 1. Caravan - A global community dataset for large-sample hydrology Further information on the individual variables can be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. CUST_SUB_LIFESTYLE_REFLECTION: Since, it is critical for my analysis to correctly classify success class observations, the most important performance measures to consider is sensitivity and PPV. 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. 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. i.e., what go to market strategies could be used in order to maximize profits. Note: All the variables starting with M are zipcode variables. 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. Caravan Insurance | Comparethemarket Hence, I have created different situation based recommendations associated with different sensitivity and PPV tradeoff values. 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. data is derived from zip codes. CoIL Challenge All datasets are in tab delimited format. Rented house, in the zipcode area of the customer. Moreover, other characteristics of caravan mobile home insurance buyers generally include lower level education, Income 30,000, and This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. We've updated our privacy policy. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. Remember, caravan insurance covers you for more than just the caravan itself. - Middle and Upper Class, middle aged and senior citizens, high risk cultured liberal investors (8, 9, This data set includes 85 predictors that measure demographic characteristics for 5,822 individuals. On this R-data statistics page, you will find information about the Caravan data set which pertains to The Insurance Company (TIC) Benchmark. You can download a CSV (comma separated values) version of the Caravan R data set. http://www.liacs.nl/~putten/library/cc2000/ References 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. The output of my association rules can be observed in associated jupyter notebook. 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 . Our main vision with Caravan is that this dataset will grow over time. 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. Machine Learning, October 2004, vol. 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. Insurance datasets - risk assessment & location data for - Precisely The size of this file is about 1,024,817 bytes. If youve had previous experience towing a caravan or trailer tent, your insurance company may offer an introductory bonus discount off your premium when you take out cover. Australian Caravan Insurance Review | finder.com.au Bianca Zadrozny and Charles Elkan. "-//W3C//DTD HTML 4.01 Transitional//EN\">, Insurance Company Benchmark (COIL 2000) Data Set So, for example, if your air conditioning motor breaks down, the insurance covers repair costs. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. P. van der Putten and M. van Someren. 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 dataset consists of 5822 records of customer data collected by the insurance company on 85 different socio-demographic and product-ownership data features. There are a lot of factors that determine the premium of health 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. Caravan - A global community dataset for large-sample hydrology The Insurance Company (TIC) Benchmark | Kaggle Pros and cons. caravan <- as_tibble(ISLR::Caravan) %>% print() This product has 5 key use cases. Other variables are mainly sociodemographic data and product ownership and for simplicity, we treat them as numerical data. 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. (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) Activate your 30 day free trialto unlock unlimited reading. Once you determine the initial balancing of the data, be sure to regularly monitor the balance of the incoming data, because the original balance might shift over time. 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. United States, 2020 North Penn Networks Limited. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. ANALYZING AND CATEGORIZING THE VARIABLES: There are two go to marketing strategies that COIL can use. The insurance company dataset (TIC), which we mine in this paper, was used in the COIL 2000 challenge. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. Follow to join The Startups +8 million monthly readers & +768K followers. Caravan insurance data mining statistical analysis, Product Planning Manager, Oncology & Hospital Specialty Care Marketing at MSD. To access comparethemarket.com please complete the security check to prove you arehuman. We all want to keep costs low, especially in todays economic climate, and it might be tempting to let your caravan insurance lapse. Predicting Sale of Caravan Insurance Policy - Begin Analytics The central idea behind their target marketing being that the penetration price pricing directly influences the conversion rate. Variable 86 (<code>Purchase</code>) indicates whether the customer . Caravan Insurance | Camper Trailer & Motorhome Insurance | QBE AU 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. If nothing happens, download GitHub Desktop and try again. Static insurance covers permanent caravans that may be used as a residence. - Young, family starters (1) Compare Touring & Static Caravan Insurance at GoCompare Taking some extra precautions can reduce your premium considerably, so read on for our top tips to keep your insurance as cheap as possible. The second is where the company markets to a wider consumer base with a lower penetration pricing relying to law of large numbers. The Insurance Company Benchmark (COIL 2000) Also a Leiden Institute of Advanced Computer Considering the nature of decisions made on this data, I can maximize profit by recommending one of the two market strategies.
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