Kaggle Competition: Bnp Paribas Cardif Claims Management

نویسندگان

  • Peidong Wang
  • Ke Tan
چکیده

This paper is a summarization of the machine learning techniques we applied in the Kaggle competition BNP Paribas Cardif Claims Management [1]. We propose three methods to extract features from the original dataset and four statistical models to analysis the features. Then we compare the performances of different combinations of the features and models and show our ranking in the competition.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Prediction of Booking Destination On Airbnb Dataset

This report is about analysis of the Airbnb dataset and the model we built to do the prediction task on the dataset. The dataset comes from an ongoing kaggle competition supported by Airbnb. We first did some comprehensive analysis on the dataset, explored most features and collected all features we thought was useful. Then we described and interpreted the prediction task and the evaluation met...

متن کامل

Crime Prediction in San Fransisco

In June 2015, Kaggle began a competition named “San Francisco Crime Classification”[8], ending in June 2016. The competition’s dataset caught our attention due the subject being very tangible, with crime being at the forefront of modern media and to San Francisco being culturally significant due to its current tech industry. The dataset is also described by geographic and temporal features, the...

متن کامل

Freight transport development forecasts in enterprises management

In this study, an investigation of long-term forecasts relating to the development of the transport sector in Poland is performed, including the ones by 2030 and 2050. Selected transport development forecasts from the perspective of the membership of Poland in the European Union are presented and most of all, from the perspective of national studies. The basement for the review was the prognosi...

متن کامل

Training Xception model for Kaggle competition “Cdiscount’s Image Classification Challenge”

This commutation is about training the Xception model for the Kaggle competition “Cdiscount’s Image Classification Challenge”. The paper will briefly describe all methods/code (github.com/ardiloot/CDiscountClassifier) used to train the model for best classification performance. Mainly, the effect of the augmentation (both train and test time) and algebraic ensemble methods were studied. In the ...

متن کامل

Model Selection in Data Analysis Competitions

The use of data analysis competitions for selecting the most appropriate model for a problem is a recent innovation in the field of predictive machine learning. Two of the most well-known examples of this trend was the Netflix Competition and recently the competitions hosted on the online platform Kaggle. In this paper, we will state and try to verify a set of qualitative hypotheses about predi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016