Supports classification and regression tasks. Allows tuning of parameters like the number of neighbors (k) and distance metrics. Dataset Support: Includes options to use built-in datasets or load ...
This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...
Jodas DS, Passos LA, Adeel A & Papa JP (2023) PL-kNN: A Python-based implementation of a parameterlessk-Nearest Neighbors classifier. Software Impacts, 15, Art. No ...
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