Our Products. As they traveled through Mexico, many made their way to the city of Tijuana, located at the border with California. PDF Characteristics of Caravan Insurance Policy Buyer - Galit Shmueli Customers Segmentation in the Insurance Company (TIC) Dataset Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). 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. Which existing customers also tend to buy the caravan mobile home insurance policy? 1-2, pp. The dataset consists of 5822 records of customer data collected by the insurance company on 85 different socio-demographic and product-ownership data features. Machine Learning, October 2004, vol. interested in buying caravan insurance and predict a model with the given 86 variable values [Web Link]. Work fast with our official CLI. consists of 86 variables, containing sociodemographic data (variables 2. The goal of the challenge was to predict customers who are interested in a caravan insurance policy. All datasets are in tab delimited format. 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 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. North Penn Networks Limited 164-167). 4.6.5: K-Nearest Neighbors - Clark Science Center i.e., what go to market strategies could be used in order to maximize profits. The results from these allowed us to state the relationship between Customer sub type MOSTYPE variable has 41 value types which can be categorised under two broad It insures you against things like bad weather, accidental damage, theft and vandalism. 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. A Simple Method For Estimating Conditional Probabilities For SVMs. We also used Ensemble methods including Bagging, Boosting and Random Forest for improving on single tree classifier models. Modeling on Unbalanced Data: Caravan Insurance - Gust.dev Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. All Rights Reserved,