The KNN.Train() method is different from the train methods of most machine learning classification algorithms. The KNN.Train() method loads the training and test data into memory, but Train() doesn't ...

The k-nearest neighbors (k-NN) algorithm is a technique for machine learning classification. The k-NN technique can be used for binary classification (predict where there are exactly two possible ...

To evaluate the diagnostic accuracy of an algorithm, it can be compared to the best existing classification for the used dataset, for which the value 100 percent is assigned.