#Decision Boundry Articles


SMOTE (Synthetic Minority Oversampling Technique)

Several machine learning classification techniques tend to perform poorly on datasets where the target class (the minority class) represents a small fraction of the overall data. However, sometimes it is the minority class that we are interested in. Examples include medical applications in which we try to predict the occurrence …

Minkowski distance and its effects on KNN Classification

Minkowski distance is a generalized version of the distance calculations we are accustomed to. It can be defined as: Euclidean & Manhattan distance: Manhattan distances are the sum of absolute differences between the Cartesian coordinates of the points in question. Manhattan distances can be thought of as the sum of the …