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Cuisine Classification from Ingredients
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Boqi Wang, Mingyu |
| Copyright Year | 2015 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cs229.stanford.edu/proj2015/313_poster.pdf |
| Alternate Webpage(s) | http://cs229.stanford.edu/proj2015/313_report.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |