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Predicting Levels of Sales for Newly Published Books

This is a paper on predicting the level of sales for newly published books. This is a multi-class classification problem.

Challenges

  • Multi-class
  • Imbalance class distribution
  • Misclassification cost of each class is not equal

Approach:

  1. Conventional classifiers (kNN, Decision Trees, MLP, SVM)
  2. Ensemble classifiers (Bagging, Boosting, Random Forests)
  3. Cost-sensitive strategies

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