KNNTree: A New Method to Ameliorate K-Nearest Neighbour Classification using Decision Tree Classification in supervised learning is one of the major issues in machine learning and data science.

To better solve this problem, we propose a novel efficient privacy-preserving kNN classification protocol over semantically secure hybrid encrypted cloud database using Paillier and ElGamal ...

Description: Implement KNN for classification. Store training data and predict by finding k-nearest points using Euclidean distance. Test with a small dataset (e.g., 3 classes, 2D points, k=3).