The last column (Purchase) indicates whether the customer purchased a caravan insurance policy. 1-2, pp. Further information on the individual variables can be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. As per the current situation the company has to approach all 4000 customers with the policy. 177-195, Kluwer Academic Publishers The data was originally supplied by Sentient Machine Research The data set contains information on customers of an insurance company which includes the 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. Remember, caravan insurance covers you for more than just the caravan itself. Published by Sentient Machine Research, Amsterdam. The Caravan dataset that was released together with the paper can be found here. Note: All the variables starting with M are zipcode variables. For more information on customizing the embed code, read Embedding Snippets. The training set contains over 5000 descriptions of customers, including the information of whether they have a caravan insurance policy. 2.1. 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. There was a problem preparing your codespace, please try again.
Best caravan insurance companies in the UK right now - Finder UK All customers living in areas with the [View Context]. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). 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. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. R documentation and datasets were obtained from the R Project and are GPL-licensed. The variable of interest in this dataset is Number_of_mobile_home_policies, which indicates the observations that have bought caravan insurance. 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. 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. 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}. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. Looks like youve clipped this slide to already. classes which relate to their age, social class, life style and reflection towards investing or spending Considering the nature of decisions made on this data, I can maximize profit by recommending one of the two market strategies. The goal is to apply KNN to the Caravan dataset from the ISLR package.
Caravan insurance data mining statistical analysis - SlideShare Secondly, the anova test is applied to verify the features with Probability of F-Statistic PR(>F) < 0.05 that highly influence the Target.
R: The Insurance Company (TIC) Benchmark - GitHub Pages 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. The complete dataset has 9822 rows and 86 column headings. Variable 86 P. van der Putten and M. van Someren (eds). Compute static catchment attributes on Google Earth Engine. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html. Participants are supposed to return the list of predicted targets only. The meaning of the attributes and attribute values is given below. This data set includes 85 predictors that measure demographic characteristics for 5,822 individuals. existing customers and caravan mobile home insurance buyers and some corresponding general characteristics. 57, iss. - Young, family starters (1) 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. Use Git or checkout with SVN using the web URL. "-//W3C//DTD HTML 4.01 Transitional//EN\">, Insurance Company Benchmark (COIL 2000) Data Set See http://www.liacs.nl/~putten/library/cc2000/ Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. 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. 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. - Middle and Upper Class, middle aged and senior citizens, high risk cultured liberal investors (8, 9,
Everything You Need To Know About Caravan Insurance - Big Lap Bible Stay claim free CoIL Challenge 2000: The Insurance Company Case. The .
Caravan Of Migrants: The Controversy At The U S -Mexico Border 1-2, pp. They give information on the distribution of that variable, e.g. The dataset that was obtained consists of 86 features, which includes insurance product usage data and social-demographic data. 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 dataset consists of 86 attributes and 9822 data points. A couple of those organizations include: * Insurance Information Institute * National Association of Insurance Commiss. You can load the Caravandata set in R by issuing the following command at the console data("Caravan"). I attempt to answer this question by my fast part of the analysis. 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. The performance measures of these models on over sampled data can be found in the jupyter notebook. Static insurance covers permanent caravans that may be used as a residence. Transforming classifier scores into accurate multiclass probability estimates. Usage 2000: The Insurance Company Case. to use Codespaces. 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. infected with a virus or malware. comparethemarket.com is a trading name of Compare The Market Limited. The dataset consists of 5822 records of customer data collected by the insurance company on 85 different socio-demographic and product-ownership data features. The Caravan dataset (and the corresponding manuscript) are currently under revisions. 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. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) You can load the Caravan data set in R by issuing the following command at the console data("Caravan"). 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! By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators.
Customers Segmentation in the Insurance Company (TIC) Dataset It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. CUST_SUB_LIFESTYLE_REFLECTION: Activate your 30 day free trialto continue reading. 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. [View Context].Stefan R uping. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Also a Leiden Institute of Advanced Computer
Modeling on Unbalanced Data: Caravan Insurance - Gust.dev Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. An Introduction to Statistical Learning with applications in R, These results can be observed in my jupyter notebook. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. There are 2,000 questions and 3,308 answers in the test set. The data dictionary ([Web Link]) describes the variables used and their values. as follows
InsuranceQA Dataset | Papers With Code All customers living in areas with the same zip code have the same sociodemographic attributes. A test set contains 4000 customers of whom only the organisers know if they have a caravan insurance policy. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. 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.
Caravan Insurance - The Camping and Caravanning Club 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. Follow this guide for more information on how to share your data with the community. Examples, The data contains 5822 real customer records. 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. Since, it is critical for my analysis to correctly classify success class observations, the most important performance measures to consider is sensitivity and PPV. 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. 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. Do not sell or share my personal information, 1.
Binary Classification Model for Caravan Insurance Marketing Using R You can read the details below. Now customize the name of a clipboard to store your clips.
All datasets are in tab delimited format. Click here to review the details. 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. Users analyze, extract, customize and publish statistics. Description Caravan includes meteorological forcing data . It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. 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. 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. Safety The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. Which existing customers also tend to buy the caravan mobile home insurance policy? Work fast with our official CLI. The cost of a tracking device may seem too high if your caravan is several years old, but adding additional security is still beneficial. A global community dataset for large-sample hydrology. The reason there is a gap, though, is. 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! (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) 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. We've encountered a problem, please try again. DATA PREPARATION: The value of your caravan: The replacement or repair cost . Storage This dataset is not set up as individual customer observations and each row represents a group of customers i.e., a large sample size. Introductory bonuses After months of planning, the caravan of immigrants began their journey from Central America to the U.S. border in October 2018.
Caravan insurance data mining prediction models - SlideShare Please enable Cookies and reload the page. 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. The data contains 5822 real customer records. 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