Press release
Modelers Prove Their Mastery in Allstate's Claim Prediction Challenge
After a three-month long crowd sourcing competition, three data scientists proved their data analysis abilities in Allstate's (NYSE: ALL) predictive modeling competition. The nation's largest publicly-held insurer launched the "Claim Prediction Challenge" with Kaggle on July 13, offering $10,000 to number crunchers worldwide for the best models predicting bodily injury insurance claims based on vehicle characteristics.Contestants continued to submit algorithms down to the competition's closing minutes October 12. From 1290 total submissions and 202 players, the three winners with models closest to predicting actual claims data are:
1st place - $6,000 - Matthew Carle - Sydney, Australia
2nd place - $3,000 - Owen Zhang - Bolton, Conn., USA
3rd place - $1,000 - Jason Tigg - London, United Kingdom
Aside from monetary motivation, all three winners said they entered to size up their skills against some of the best predictive modeling talents out there. The public leader board on the competition site fueled continual model improvements and additional entries.
"As an actuary, I have worked on claims models in the past, and the Claim Prediction Challenge allowed me to see how my modeling skills compare with those of other modeling experts," said Carle. "It also provided a way to improve modeling skills and try new techniques."
Provided with Allstate data from 2005 to 2007, contestants analyzed correlations between vehicle characteristics and bodily injury claims payments to predict claims payment amounts in 2009. Based on the data, modelers considered how factors such as horsepower, length and number of cylinders affect an insured's likelihood of being held responsible for injuring someone in a car accident. The data provided to contestants contained no personal information about any individual consumers.
"A competition of this type is definitely a new approach for the property and casualty insurance industry, and we're proud to reward the work of these talented winners," said Allstate Vice President Eric Huls, Quantitative Research and Analytics. "Allstate always looks for ways to embrace new ideas and appreciates the excitement and participation generated in this community of modelers."
Allstate will examine the winning modelers' methods and may use gained insights to complement the insurer's existing best-in-class modeling techniques.
"We're excited to see Allstate helping to advance actuarial science by engaging the best and brightest data scientists from around the world," said Anthony Goldbloom, founder and chief executive officer, Kaggle. "Kaggle's competitive dynamic inherently pushes entrants to produce better work than they would have if they were working in isolation, so they break the benchmark time and time again. This ultimately leads to greater efficiency for companies like Allstate."
For more Allstate news, visit http://www.allstatenewsroom.com or follow @AllstateNews on Twitter.
About Kaggle
Kaggle offers a platform for predictive modeling competitions that helps companies, governments, and researchers identify solutions to some of the world's hardest problems. By using a competition format to introduce challenges to a community of nearly 17,000 data scientists, Kaggle helps organizations achieve the best possible predictive accuracy. Kaggle has helped solve problems for NASA, Deloitte, and Ford, and it is currently running the $3 million Heritage Health Prize, the largest medical prize ever, to help prevent unnecessary hospitalization. Kaggle was founded in 2010 and is based in San Francisco, Calif.
# # #
About Allstate
The Allstate Corporation (NYSE: ALL) is the nation's largest publicly held personal lines insurer known for its "You're In Good Hands With Allstate®" slogan. Now celebrating its 80th anniversary as an insurer, Allstate is reinventing protection and retirement to help nearly 16 million households insure what they have today and better prepare for tomorrow. Consumers access Allstate insurance products (auto, home, life and retirement) and services through Allstate agencies, independent agencies, and Allstate exclusive financial representatives in the U.S. and Canada, as well as via www.allstate.com and 1-800 Allstate®.
Contact:
Stephanie Sheppard
(847) 402-5600
Stephanie.Sheppard@allstate.com
2775 Sanders Rd.
Northbrook, IL 60062
This release was published on openPR.
Permanent link to this press release:
Copy
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.
You can edit or delete your press release Modelers Prove Their Mastery in Allstate's Claim Prediction Challenge here
News-ID: 197873 • Views: …
More Releases for Kaggle
Best Statistical Community-Driven Model Service Platform Market Growth Set to Su …
The worldwide "Community-Driven Model Service Platform Market" 2024 Research Report presents a professional and complete analysis of the Global Community-Driven Model Service Platform Market in the current situation. This report includes development plans and policies along with Community-Driven Model Service Platform manufacturing processes and price structures. the reports 2024 research report offers an analytical view of the industry by studying different factors like Community-Driven Model Service Platform Market growth, consumption…
AI Training Dataset Market Insights, Technology Advancements and Forecast 2025 | …
The Latest research study released by WMR "AI Training Dataset Market with 150+ pages of analysis on business Strategy taken up by key and emerging industry players delivers know-how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint, and status. Understanding the segments helps in identifying the importance of different factors that aid market growth.
The market study report offers comprehensive insights into the entire market landscape, offering strategies…
AI Training Dataset Market Product Size Data 2023 to 2030: Analysis of Industry …
According to The Worldwide Market Reports, the Latest research report on "AI Training Dataset Market Size, Revenue, Global Analysis, and Forecast 2023 to 2030" The AI Training Dataset Market research study is a professional report with premium insights into the size of the business, current patterns, drivers, risks, potential outcomes, and major segments. The Industry Report forecasts the future growth of the market based on precise assumptions. Furthermore, based on…
AI Training Dataset Market is Booming in Upcoming Year | Google, LLC (Kaggle), A …
Global AI Training Dataset Market Size study, By Type (Text, Image/Video, Audio), By Vertical (IT, Automotive, Government, Healthcare, BFSI) and Regional Forecasts 2021-2027 , Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by…
Factors Influencing Global Crowdsourcing Market through 2022 and Beyond Upwork I …
The latest competent intelligence report published by SMI with the title "An increase in demand and Opportunities for Global Crowdsourcing Market 2022" provides a sorted image of the Crowdsourcing industry by analysis of research and information collected from various sources that have the ability to help the decision-makers in the worldwide market to play a significant role in making a gradual impact on the global economy. The report presents and…
AI Training Dataset Market 2022 Status and Outlook Google, LLC (Kaggle), Deep Vi …
The AI Training Dataset Market studies have a check that gives vital statistics with the market inclinations and the market forecast from 2022-2028. It takes to test the overall market opposition, constraints, profits predictions, possibilities, transferring inclinations, market size, market share, and enterprise corporation business enterprise-set up information have been top-notch. The record covers the forecast duration 2022-2028 in-intensity evaluation. They want a test a useful aid in better records…