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Kaggle Competition Prudential Life Insurance Assessment
Can you make buying life insurance easier? Advanced Network Database Lab
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Registration Site: https://www.kaggle.com/competitions
Account: IKDD1(Group Number)
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Prudential Prudential Financial, Inc.
An American Fortune Global 500 and Fortune 500 company $ 30,000
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Prudential Competition url: Data url: /data Leaderboard: /leaderboard
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Data Attribute
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Data Attribute Nominal type
Numbers may be used to represent the variables but the numbers do not have numerical value or relationship.
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Classification
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Prediction
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Decision Tree
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Sklearn – Python tool Simple and efficient tools for data mining and data analysis! Decision tree url :
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Homework 1 Registration
Apply a simple algorithm to build the classifier To predict the "Response" variable for each Id in the test set Submit the result to Kaggle Deadline: next Thursday (12/31)
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Homework 2 Improve your prediction results Oral report
Deadline: next Thursday (1/7)
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Homework 3 (Final project)
Try different algorithms to build the best classifier Submit the result to Kaggle
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Final project Deadline: 1/14 23:59 Submission:
Submit the results to kaggle your project to Project file content: code prediction result report
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Report The details of the your best method
The description of the methods that you tried The important attributes or surprised features you found
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Grading Homework 1: 20% Homework 2: 10% Final Project : 70%
The ranking: 20% Algorithm and coding : 25% Report: 25%
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XGBoost General purpose gradient boosting library, including generalized linear model and gradient boosted decision tree SITE:
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tslm A linear model with time series components
SITE:
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H2o.randomForest Random Forest (RF) is a powerful classification tool. When given a set of data, RF generates a forest of classification trees, rather than a single classification tree. Each of these trees generates a classification for a given set of attributes. The classification from each H2O tree can be thought of as a vote; the most votes determines the classification. SITE:
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