CSE-347 Data Mining Project

The professor posted one of the multiple competitions that we can work on for the project. Personally, I am pretty interested in the topic, but I will probably wait for a more financial oriented project to be released. This summary is the summary we have been provided:

Predicting the success of a project/campaign in its early stage is extremely important for crowdfunding environments (e.g., kickstarter). In this competition, you are challenged to build a predictor that can accurately predict the success chance of a kickstarter project after observing its early trend.

In particular, you have access to the following information:

  • The requested money of the project
  • The duration of fund raising campaign

You also observe for each project, during each of the first 10 days since its launch:

  • The number of tweets that mention this project (containing a link to the project webpage)
  • The number of replies to these tweets
  • The number of retweets of these tweets
  • The amount of pledged money
  • The number of backers

which captures the social influence of the project during its early stage.

Ultimately, we have to create a classifier that will predict a model with high accuracy. The more accurate, the higher chance there is that you can make the top 10% and get bonus points.

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About ludaniel17

Hi, my name is Daniel, and I am in the Computer Science and Business Program.
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