Did you find any difference between the two graphs?
Both show the accuracy of a classification problem for K values between 1 to 10.
Both of the graphs use the KNN classifier model with ‘Brute-force’ algorithm and ‘Euclidean’ distance metric on same dataset. Then why is there a difference in the accuracy between the two graphs?
Before answering that question, let me just walk you through the KNN algorithm pseudo code.
I hope all are familiar with k-nearest neighbour algorithm. If not, you can read the basics about it at https://www.analyticsvidhya.com/blog/2018/03/introduction-k-neighbours-algorithm-clustering/.
We can implement a KNN model by following the below steps:
#2020 oct tutorials # overviews #algorithms #k-nearest neighbors #machine learning #python