ML_KNN

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Implementation of K Nearest Neighbors Classifier in C++.

Implemented Two Feature Scaling:

• MinMaxScaler
• Standard Scaler

Also added a function that measures accuracy in terms of correct predictions as percentage of total predictions.

Supports 3 Distance Metrics:

1. Euclidean
2. Manhattan
3. Chebyshev

Also included a header containg IRIS Flower Data Set.

Added test.cpp: Tests the KNN using IRIS Data Set.

To run cd into directory,

g++ -c knn.cpp

g++ -c test.cpp

g++ -o knntest test.o knn.o

./knntest