In most cases, you'll find your caravan make within the drop down menu when you get a touring caravan quote, but if isn't there then give us a quick call on 01242 538 431 and we can confirm whether we can provide cover. They give information on the distribution of that variable, e.g. The data contains 5822 real customer records. You can load the Caravan data set in R by issuing the following command at the console data("Caravan"). The accuracy of our model using testing dataset is 79.7% in which it's sensitivity was 81.74% and specificity 47.48%. All customers living in areas with the same zip code have the same sociodemographic attributes. Download: Data Folder, Data Set Description, Abstract: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. Please The CPOL is our gift to the community. sign in See "How to contribute" for more details about how to contribute to the Caravan project. 2000. It appears that you have an ad-blocker running. Why not get a cheap caravan insurance quote today and see how much you can save by following our advice? 57, iss. The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. Tagged. June 22, 2000. 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. as follows Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. The dataset "Caravan.csv"contains 5822 obser- vations on 86 variables. P. van der Putten and M. van Someren (eds). 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. 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. Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. All customers living in areas with the same zip code have the same sociodemographic attributes. 57, iss. Additional security and safe storage are great for when your caravan is not is use but what about when youre towing your caravan? 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 . A simple alarm, for example, can save you 5% off your premium. Remember, caravan insurance covers you for more than just the caravan itself. The first being to target a very narrow set of customers with high penetration pricing to have a very high conversion rate. As per the current situation the company has to approach all 4000 customers with the policy. We extract and analyze the raw variables with labels and try to categorize the variables based on the Caravan insurance can cover electrical equipment that is part of the caravan - not those bought separately. Thirdly, the raw dataset and the feature scaled dataset . Recitation of Public and Private Sector General Insurance Industry in Structu Vivekanandha College of arts and Science for Women (Autonomous). 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. CoIL Challenge 2000: The Insurance Company Case. 0330 094 5256. 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/. We've updated our privacy policy. consists of 86 variables, containing sociodemographic data (variables References To access comparethemarket.com please complete the security check to prove you arehuman. Machine Learning. Machine Learning, October 2004, vol. Variable 86 June 22, 2000. All datasets are in tab delimited format. Moreover, other characteristics of caravan mobile home insurance buyers generally include lower level education, Income 30,000, and 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. based on family status and age. 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. Registered Office: Pegasus House, Bakewell Road, Orton Southgate, Peterborough, PE2 6YS. CUST_SUB_LIFESTYLE_REFLECTION: A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. The dataset used is from the CoIL Challenge 2000 datamining competition. Joining a caravanning club is not just a social thing! 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. 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. October 26, 2021. 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. We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. 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. The dataset consists of 5822 records of customer data collected by the insurance company on 85 different socio-demographic and product-ownership data features. understanding of the insurance product and the product buyers. You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. Published by Sentient Machine Considering the nature of decisions made on this data, I can maximize profit by recommending one of the two market strategies. After months of planning, the caravan of immigrants began their journey from Central America to the U.S. border in October 2018. The dataset used is from the CoIL Challenge 2000 datamining competition. P. van der Putten and M. van Someren. The sociodemographic data is derived from zip codes. Out of a total of 238 actual mobile home policy customers, our model . The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. and was used in the CoIL Challenge 2000. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. 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. 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. 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. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. Caravan Guard Limited is authorised and regulated by the Financial Conduct Authority (FCA). This is usually a hitchlock and a wheel clamp. The Code Project Open License (CPOL) 1.02. So, for example, if your air conditioning motor breaks down, the insurance covers repair costs. Work fast with our official CLI. This dataset is not set up as individual customer observations and each row represents a group of customers i.e., a large sample size. data is derived from zip codes. caravan <- as_tibble(ISLR::Caravan) %>% print() Dataset contains monthly counts, from 1971 to present, of initial claims for regular unemployment insurance benefits. 10636682. CoIL Challenge 2000: The Insurance Company Case. https://github.com/google/eng-edu/blob/main/ml/cc/exercises/linear_regression_with_a_real_dataset.ipynb 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. An Introduction to Statistical Learning with applications in R, Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. The SlideShare family just got bigger. with Rexa.info, http://www.liacs.nl/~putten/library/cc2000/, Transforming classifier scores into accurate multiclass probability estimates, The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation, A Simple Method For Estimating Conditional Probabilities For SVMs. Activate your 30 day free trialto continue reading. The sociodemographic 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. Health Insurance is a type of insurance that covers medical expenses. OpenIntro documentation is Creative Commons BY-SA 3.0 licensed. Storing your caravan in a sensible place will also give you peace of mind as well as possible discounts off your annual caravan insurance. 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 164-167). By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. to use Codespaces. 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. We've seen all sorts of makes, models, designs and modifications over the years. Photography Insurance; Camera Insurance . 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. The data set contains information on customers of an insurance company which includes the We all know that making a claim on our insurance can result in our premium going up at renewal . Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. Users analyze, extract, customize and publish statistics. 2002. It insures you against things like bad weather, accidental damage, theft and vandalism. 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}. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. ANALYZING AND CATEGORIZING THE VARIABLES: Here is how you do it. Fig 3: Derived Variables 3.8 Balancing the training data It has been noticed that the training dataset is not highly representative of positive cases i.e.CARAVAN=1. 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 data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Variable 86 (Purchase) indicates whether the customer purchased a caravan insurance policy. The unique Ray ID for this page is: 7a27d02e1dc5c268. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. For more information on customizing the embed code, read Embedding Snippets. variables to significant predictors as below We've encountered a problem, please try again. We found that caravan insurance buyers are likely to live in wealthy area. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. The goal of the challenge was to predict customers who are interested in a caravan insurance policy. The value of your caravan: The replacement or repair cost . The output of my association rules can be observed in associated jupyter notebook. The central idea behind their target marketing being that the penetration price pricing directly influences the conversion rate. https://www.statlearning.com, Secondly, the anova test is applied to verify the features with Probability of F-Statistic PR(>F) < 0.05 that highly influence the Target. 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. You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. Whether you own a touring caravan or a static caravan, you could be glad of having caravan insurance in place if something goes wrong. 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 vision of Caravan is to provide the foundation for a truly global open source community resource that will grow over time. sign in Caravan insurance is designed to protect your caravan against damage and theft. I attempt to answer this question by my fast part of the analysis. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) 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. If you need to download R, you can go to the R project website. Click here to review the details. Customer sub type MOSTYPE variable has 41 value types which can be categorised under two broad All Rights Reserved, , http://www.liacs.nl/~putten/library/cc2000/data.html, http://www.liacs.nl/~putten/library/cc2000/, OpenIntro Statistics Dataset - winery_cars. Bianca Zadrozny and Charles Elkan. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Our aim is to predict a customer circle who will be 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. Description The data dictionary ([Web Link]) describes the variables used and their values. One aspect of this is applying a customer lifetime value to each client. Registered in England No. A data frame with 5822 observations on 86 variables. Stay claim free The meaning of the attributes and attribute values is given below. insurance policy. 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. Participants are supposed to return the list of predicted targets only. 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). By accepting, you agree to the updated privacy policy. 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. - Young, family starters (1) Following Amelia, let's look at the ISLR Caravan example (pp. All customers living in areas with the If you are at an office or shared network, you can ask the network administrator to run a scan across the network 1-2, pp. The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. 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. 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. 2.1.1. Energy and Digital products are not regulated by the FCA. TICTGTS2000.txt Targets for the evaluation set. Read the Product Disclosure Statement (PDS) and Target Market Determination (TMD) to find out more. Muthu Kumaar Thangavelu (G1101765E) If nothing happens, download Xcode and try again. Insurance companies are now recognising the additional safety that these devices give to caravan owners so theyre offering discounts off their insurance for having them fitted. This repository is part of the Caravan project/dataset. 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. Further information on the individual variables can You might need to make adjustments . Contents Coverage Every policy has a different level of contents insurance. Anti-snaking devices are now becoming more common as standard on new caravans, but they can also be retro-fitted to older vans too. Rented house, in the zipcode area of the customer. KDD. There are 12,889 questions and 21,325 answers in the training set. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). Participants are supposed to return the list of predicted targets only. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. Further information on the individual variables can be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. Work fast with our official CLI. 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 . Our Products. CoIL Challenge 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. 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. It is further divided into a training set (5822 observations) and a test set (4000 observations). This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. Club membership 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. 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. P. van der Putten and M. van Someren (eds) . This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. 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. Activate your 30 day free trialto unlock unlimited reading. The insurance company dataset (TIC), which we mine in this paper, was used in the COIL 2000 challenge. This data set includes 85 predictors that measure demographic characteristics for 5,822 individuals. interested in buying caravan insurance and predict a model with the given 86 variable values Safety You signed in with another tab or window. Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. 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. Usage The sociodemographic data is derived from zip codes. Now customize the name of a clipboard to store your clips. Do not sell or share my personal information, 1. P. van der Putten and M. van Someren. The . Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. STATISTICAL ANALYSIS For my first part of the analysis, I used Data Visualization and Association Rules to understand the characteristics of caravan mobile home insurance buyers. For my later part of the analysis, I used the aforementioned classification models to devise an optimal go to market strategy depending on. The cost of a tracking device may seem too high if your caravan is several years old, but adding additional security is still beneficial. See - Senior, family men (5, 6). 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 complete dataset has 9822 rows and 86 column headings. [View Context]. This type of policy is more similar to a homeowner's policy. Question: Consider the insurance company case. Note: All the variables starting with M are zipcode variables. The data was generously contributed by one global reinsurance companyand two large Lloyd's syndicates in London. 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. Aman Kharwal. 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. Business purposes are excluded. There was a problem preparing your codespace, please try again. There are 2,000 questions and 3,354 answers in the validation set. The last column (Purchase) indicates whether the customer purchased a caravan insurance policy.