caravan insurance dataset

This repository is part of the Caravan project/dataset. If they approach all the customers they have to divide the marketing budget between of them, effectively reducing the discounts they can offer to individual customers leading to lower conversion rate. The dataset consists of 86 attributes and 9822 data points. 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. (Purchase) indicates whether the customer purchased a caravan [Web Link]. 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. The sociodemographic data is derived from zip codes. We all know that making a claim on our insurance can result in our premium going up at renewal . . A test set contains 4000 customers of whom only the organisers know if they have a caravan insurance policy. 57, iss. Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. A data frame with 5822 observations on 86 variables. The dataset "Caravan.csv"contains 5822 obser- vations on 86 variables. 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. Caravan - A global community dataset for large-sample hydrology, that was used to derive all of the data included in Caravan, and. Remember, caravan insurance covers you for more than just the caravan itself. CoIL Challenge 2000: The Insurance Company Case. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. If nothing happens, download Xcode and try again. Lines open Mon-Fri 9am-5.30pm. Thirdly, the raw dataset and the feature scaled dataset . Registered in England No. 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. It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. 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}. Married observations. A tag already exists with the provided branch name. We've encountered a problem, please try again. Hence, I have created different situation based recommendations associated with different sensitivity and PPV tradeoff values. Photography Insurance; Camera Insurance . This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. This dataset is not set up as individual customer observations and each row represents a group of customers i.e., a large sample size. infected with a virus or malware. So if you want to learn how we can . to use Codespaces. Are you sure you want to create this branch? Most caravan insurance companies will require some form of minimum security. Variable 86 (<code>Purchase</code>) indicates whether the customer . If nothing happens, download Xcode and try again. KDD. James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) 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). 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. 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. DATA PREPARATION: The goal is to apply KNN to the Caravan dataset from the ISLR package. Now customize the name of a clipboard to store your clips. Having said that, I have developed analysis that compares overall costs for all eighteen models for classification cutoff values ranging from 0 to 1. You might need to make adjustments . A tag already exists with the provided branch name. Research, Amsterdam. They give information on the distribution of that variable, e.g. 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 first being to target a very narrow set of customers with high penetration pricing to have a very high conversion rate. This analysis can be observed in the uploaded notebook. 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. As per the current situation the company has to approach all 4000 customers with the policy. consists of 86 variables, containing sociodemographic data (variables Exploratory Data Analysis (EDA) solution to Kaggle caravan insurance challenge on R | by Kieran Tan Kah Wang | Analytics Vidhya | Medium Write Sign up Sign In 500 Apologies, but something. [View Context].Stefan R uping. 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. Please cite/acknowledge: P. van der Putten and M. van Someren (eds) . 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. This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. Data Mining of Caravan Insurance Data Set Using R. Use Git or checkout with SVN using the web URL. For my later part of the analysis, I used the aforementioned classification models to devise an optimal go to market strategy depending on. 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. Tracking devices offer a huge discount up to 20% from some insurers as they provide an unbeatable deterrent for potential thieves as well as being extremely effective at returning your caravan to you swiftly if it does get stolen. A completed project by the Insurance Risk and Finance Research Centre (www.IRFRC.com) hasassembled a unique dataset from Large Commercial Risk losses in Asia-Pacific (APAC) coveringthe period 2000-2013. 177-195, Kluwer Academic Publishers Our Products. All customers living in areas with the As consulted with one of my connections who is a subject matter expert with respect to insurance cross-selling, I learnt that the ratio of costs of FP to that of FN is around 1:18. A test dataset contains another 4000 customers whose information will be used to test the effectiveness of the machine learning models. your computer will be reset to windows 10 fresh defaults. While searching for this topic online, you will find there are three aspects. ANALYZING AND CATEGORIZING THE VARIABLES: Out of the 86 attributes, two are categorical, 83 are numerical and one is the class/target variable (Caravan Insurance Purchased). 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. Postprocess the Earth Engine outputs locally and to combine it with streamflow, as well as to compute some additional climate indices. This is usually a hitchlock and a wheel clamp. sign in 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 Aman Kharwal. Data for an Introduction to Statistical Learning with Applications in R, ISLR: Data for an Introduction to Statistical Learning with Applications in R. to use Codespaces. It has the same format as TICDATA2000.txt, only the target is missing. It insures you against things like bad weather, accidental damage, theft and vandalism. 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. Machine Learning, October 2004, vol. 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. The data contains 5822 real customer records. 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. All Rights Reserved,