Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.devยทSep 20, 2024Bias in k-NN classifierIn the case of K-nearest neighbors (KNN) classifiers, the bias typically increases as the value of K increases. Here's why: When K is small (e.g., K=1), the model tends to overfit the training data, as it is highly sensitive to noise and anomalies. ...Introduction to Machine Learningweek1Add a thoughtful commentNo comments yetBe the first to start the conversation.
