ML_KNN

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:

Euclidean
Manhattan
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