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01_​kNN

Classification of the iris data using kNN

This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.

Classification of the iris data set using kNN 50% training50% testClassify using kNN k=1Score performanceinto [0,1]apply normalization formularead theiris dataset Partitioning K Nearest Neighbor Scorer (JavaScript) Normalizer Normalizer (Apply) Table Reader Classification of the iris data set using kNN 50% training50% testClassify using kNN k=1Score performanceinto [0,1]apply normalization formularead theiris datasetPartitioning K Nearest Neighbor Scorer (JavaScript) Normalizer Normalizer (Apply) Table Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Emilio Silvestri
Created at: 2020-02-12
On NodePit since: 2023-12-16
Last update: 2024-04-30
Created with KNIME version: v4.7.0
Tags: TheGuideBookkNNk Nearest NeighborclassificationGIDS

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