Cognitive Computing in Business
K-nearest neighbors (KNN) is a simple, yet powerful, algorithm used in classification and regression tasks that relies on the proximity of data points. The method predicts the output for a data point by considering the 'k' closest labeled data points in the feature space, making it an intuitive approach that works well with large datasets. KNN’s effectiveness heavily depends on the chosen features and how they are selected and engineered, which directly influences its performance in machine learning applications.
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