caravan insurance dataset

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. Specialist caravan insurance can also come . 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. Variable 86 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. We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. Dataset contains monthly counts, from 1971 to present, of initial claims for regular unemployment insurance benefits. To access comparethemarket.com please complete the security check to prove you arehuman. What is Healthcare Insurance Data Healthcare Insurance Dataset Insurance Database - MedicoReach used for? 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. - Senior, family men (5, 6). A data frame with 5822 observations on 86 variables. 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. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) If nothing happens, download Xcode and try again. Caravan - A global community dataset for large-sample hydrology, that was used to derive all of the data included in Caravan, and. Therefore, the high accuracy of these models is of limited use as they do not help in classifying success class observations correctly, which is my main objective. Taking some extra precautions can reduce your premium considerably, so read on for our top tips to keep your insurance as cheap as possible. Caravan policies should cover you for things like fire, theft, accidental damage and weather damage. 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/. The complete dataset has 9822 rows and 86 column headings. Questions or concerns about copyrights can be addressed using the contact form. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Bianca Zadrozny and Charles Elkan. CoIL Challenge 2000: The Insurance Company Case. Statistical Analysis of Caravan Insurance using IBM SPSS Examples, The data contains 5822 real customer records. We found that caravan insurance buyers are likely to live in wealthy area. (Purchase) indicates whether the customer purchased a caravan consists of 86 variables, containing sociodemographic data (variables Question: Consider the insurance company case. 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. Registered in England No. The data was generously contributed by one global reinsurance companyand two large Lloyd's syndicates in London. Business purposes are excluded. See The Caravan data set is found in the ISLR R package. There are two go to marketing strategies that COIL can use. CUST_LEVEL_LIFECYCLE: Dataset imported from https://www.r-project.org. 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. Health Insurance is a type of insurance that covers medical expenses. Stay claim free. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. The results from these allowed us to state the relationship between Contents Coverage Every policy has a different level of contents insurance. 57, iss. Activate your 30 day free trialto continue reading. "-//W3C//DTD HTML 4.01 Transitional//EN\">, Insurance Company Benchmark (COIL 2000) Data Set A couple of those organizations include: * Insurance Information Institute * National Association of Insurance Commiss. Other variables are mainly sociodemographic data and product ownership and for simplicity, we treat them as numerical data. R documentation and datasets were obtained from the R Project and are GPL-licensed. The data was originally supplied by Sentient Machine Research This product has 5 key use cases. OpenIntro documentation is Creative Commons BY-SA 3.0 licensed. Participants are supposed to return the list of predicted targets only. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. The unique Ray ID for this page is: 7a27d02e1dc5c268. 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. We've seen all sorts of makes, models, designs and modifications over the years. Why not get a cheap caravan insurance quote today and see how much you can save by following our advice? interested in buying caravan insurance and predict a model with the given 86 variable values 1-2, pp. be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. The sociodemographic data is derived from zip codes. CoIL Challenge 2000: The Insurance Company Case. 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 can read the details below. Analytics Vidhya is a community of Analytics and Data Science professionals. This repository is part of the Caravan project/dataset. We all know that making a claim on our insurance can result in our premium going up at renewal, so if you can keep yourself claim free on your caravan insurance, you wont see an additional charge imposed by your insurance company. data is derived from zip codes. On this R-data statistics page, you will find information about the Caravandata set which pertains to The Insurance Company (TIC) Benchmark. Compute static catchment attributes on Google Earth Engine. 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. consists of 86 variables, containing sociodemographic data (variables Toggle navigation. CS Department, AI Unit Dortmund University. Average age MGEMLEEF holds 6 types of values which can be categorised into three groups and are - Young, family starters (1) You might need to make adjustments . [View Context].Stephen D. Bay and Dennis F. Kibler and Michael J. Pazzani and Padhraic Smyth. For my first part of the analysis, I used Data Visualization and Association Rules to understand the characteristics of caravan mobile home insurance buyers. This is something that should be kept in mind and taken care of when using this rule. The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000. Stay claim free 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. Muthu Kumaar Thangavelu (G1101765E) The dataset used is from the CoIL Challenge 2000 datamining competition. [Web Link]. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. 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. The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. The training data has 5893 observations, whereas, the test data consists of the remaining 3929 observations. It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. Free access to premium services like Tuneln, Mubi and more. The dataset consists of 86 attributes and 9822 data points. 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 . existing customers and caravan mobile home insurance buyers and some corresponding general characteristics. This type of policy is more similar to a homeowner's policy. Our Products. Get smarter at building your thing. Variable 86 (<code>Purchase</code>) indicates whether the customer . Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. The dataset that was obtained consists of 86 features, which includes insurance product usage data and social-demographic data. Muthu1@e.ntu.edu.sg Australian Caravan Insurance is a specialist provider of comprehensive insurance cover for caravans, campervans, trailers, horse floats and more. 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. CoIL Challenge 2000: The Insurance Company Case. Read the Product Disclosure Statement (PDS) and Target Market Determination (TMD) to find out more. 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. The meaning of the attributes and attribute values is given below. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. Participants are supposed to return the list of predicted targets only. Married observations. The value of your caravan: The replacement or repair cost . Since, it is critical for my analysis to correctly classify success class observations, the most important performance measures to consider is sensitivity and PPV. Thirdly, the raw dataset and the feature scaled dataset . Moreover, other characteristics of caravan mobile home insurance buyers generally include lower level education, Income 30,000, and Club membership Science Technical Report 2000-09. The last column (Purchase) indicates whether the customer purchased a caravan insurance policy. I attempt to answer this question by my fast part of the analysis. Aman Kharwal. Caravan insurance data mining statistical analysis, Product Planning Manager, Oncology & Hospital Specialty Care Marketing at MSD. You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. The data dictionary ([Web Link]) describes the variables used and their values. [Web Link], [1] Papers were automatically harvested and associated with this data set, in collaboration After under sampling the number of non-success class observations in the training dataset, I re-ran my six classification models and noticed an overall improvement in the performance measures associated with correctly identifying the success class observations. A lot of new caravans are fitted with an AL-KO axle wheel lock receiver, so purchasing the locking part for this is an excellent alternative to a separate wheel clamp and will give a superb level of security. They give information on the distribution of that variable, e.g. It has the same format as TICDATA2000.txt, only the target is missing. The size of this file is about 1,024,817 bytes. The second is where the company markets to a wider consumer base with a lower penetration pricing relying to law of large numbers. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Transforming classifier scores into accurate multiclass probability estimates. All Rights Reserved,