Cuisine Classification from Ingredients

نویسندگان

  • Boqi Li
  • Mingyu Wang
چکیده

In this report, the team aimed to classify 20 types of cuisines by analyzing the ingredient lists. The team approached this problem by building several feature sets and trained them with different classification algorithms. The result shows that the logistic regression is able to achieve the highest performance with an accuracy of 78.4%. The error distribution of each class is analyzed for further investigation.

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تاریخ انتشار 2015