CHAPTER 6
Crowdfunding Asker Campaign Prediction and Ensemble Learning
This chapter investigates the ensemble learning (more specifically Naive Bayes, random forests, and AdaBoost) for predicting campaign success rate and the associated fundraising range estimation from the crowdfunding asker’s perspective. Firstly, the determinants of successful or failed campaigns in various crowdfunding settings are described; secondly, in order to offer askers a much more quantitative and qualitative supporting system, this chapter presents a comprehensive study in which a large amount of data (collected from Kickstarter) regarding the projects and backers are analysed. The study revealed that there is an interesting overlap occurring among campaign participants, ...
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