rwx2 / veganrecipeclassification Goto Github PK

this project aims to classify recipes to vegan, non-vegan, based on the list of ingredients. data is from Kaggle [https://www.kaggle.com/hugodarwood/epirecipes], with some changes.

• KNN (K nearest nieghbor).
• Logistic Regression.
• Decision Tree Classifier.

1. Loading the CSV Data
2. cleaning the data to remove punctuation + digits + non alphabetic characters. 3.convert the textual representation of information into a matrix of TF-IDF features.
3. split the dataset into training and testing.
4. perform the three algorithms.

from the results we can see that the Decision Tree Classifier yields the highest accuracy while KNN yields the lowest accuracy

• KNN (K nearest nieghbor) = 90.4%
• Logistic Regression = 91.3%
• Decision Tree Classifier = 91.5%