This is for UIC CS412 course project.
AllEatable
We are using this Kaggle Competition as our project topic.
Mar 16, proposal due
Apr 4, progress report due
Apr 25: presentations
Apr 27, presentations, final report due
1.Text Classification:
1) Features: all V ingredients, and each recipe is represented as a vector of length V.
2) Classes: all K kinds of cuisines
1. SVM (multiple classes version)
2. Random Forest
3. Naive Bayes
4. Class-baed Association Rule Mining
5. Neural Network
6. Latent Dirichlet Allocation
1.reduce V-dimensional vectors to 2- or 3- dimensional vectors
2. Methods:
1) PCA
2) t-SNE
1. Using many traditional ML techniques
2. Compare the performance of each used technique
3. Visualizing the recipes in 2-D/3-D space to show the closeness of recipes.