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03_​SVM

SVM on iris dataset

This workflow solves a classification problem on the iris dataset using Support Vector Machines (SVM).

Classification of the iris dataset using SVM Train SupportVector MachinePerform classificationon test data80% training20% testScore performanceinto [0,1]read theiris dataset SVM Learner SVM Predictor Partitioning Scorer (JavaScript) Normalizer Normalizer (Apply) Table Reader Classification of the iris dataset using SVM Train SupportVector MachinePerform classificationon test data80% training20% testScore performanceinto [0,1]read theiris datasetSVM Learner SVM Predictor Partitioning 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:

Download Workflow
Created by: Emilio Silvestri
Created at: 2020-02-12
On NodePit since: 2024-04-10
Last update: 2024-04-30
Created with KNIME version: v5.2.3
Tags: TheGuideBookSVMclassificationSupport Vector MachineGIDS

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