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01. Basics

Knime Basic Nodes Weka Basic Nodes First Example (Read, Visualize and Save) Iris DatasetThe Iris flower data set or Fisher's Irisdata set is a multivariate data setintroduced by the British statisticianand biologist Ronald Fisher in his1936 paper The use of multiplemeasurements in taxonomicproblems as an example of lineardiscriminant analysis.The data set consists of 50 samplesfrom each of three species of Iris (Irissetosa, Iris virginica and Irisversicolor). Four features weremeasured from each sample: thelength and the width of the sepals andpetals, in centimetres. Based on thecombination of these four features,Fisher developed a linear discriminantmodel to distinguish the species fromeach other. Node 1Node 2Node 4Node 5Node 6Node 7Node 13Node 11Node 15Node 10Node 12ReadIrisDataPetal Lengthas colorPetal Widthas sizeClassas shapeVisualize 5D dataVisualizeScatter MatrixClassas colorSave as ARFFNode 24Node 25Node 26 CSV Reader Excel Reader (XLS)(deprecated) CSV Writer PMML Writer Filter Apply Normalizer Weka ClassifierWriter (3.7) Weka ClassifierReader (3.7) Weka Predictor(3.7) ARFF Reader ARFF Writer CSV Reader Color Manager Size Manager Shape Manager Scatter Plot(local) Scatter Matrix(local) Color Manager ARFF Writer J48 (3.7) DecisionTree Learner Decision TreePredictor Knime Basic Nodes Weka Basic Nodes First Example (Read, Visualize and Save) Iris DatasetThe Iris flower data set or Fisher's Irisdata set is a multivariate data setintroduced by the British statisticianand biologist Ronald Fisher in his1936 paper The use of multiplemeasurements in taxonomicproblems as an example of lineardiscriminant analysis.The data set consists of 50 samplesfrom each of three species of Iris (Irissetosa, Iris virginica and Irisversicolor). Four features weremeasured from each sample: thelength and the width of the sepals andpetals, in centimetres. Based on thecombination of these four features,Fisher developed a linear discriminantmodel to distinguish the species fromeach other. Node 1Node 2Node 4Node 5Node 6Node 7Node 13Node 11Node 15Node 10Node 12ReadIrisDataPetal Lengthas colorPetal Widthas sizeClassas shapeVisualize 5D dataVisualizeScatter MatrixClassas colorSave as ARFFNode 24Node 25Node 26 CSV Reader Excel Reader (XLS)(deprecated) CSV Writer PMML Writer Filter Apply Normalizer Weka ClassifierWriter (3.7) Weka ClassifierReader (3.7) Weka Predictor(3.7) ARFF Reader ARFF Writer CSV Reader Color Manager Size Manager Shape Manager Scatter Plot(local) Scatter Matrix(local) Color Manager ARFF Writer J48 (3.7) DecisionTree Learner Decision TreePredictor

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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: gabri
Created at: 2017-10-17
On NodePit since: 2024-04-30
Last update: 2024-05-19
Created with KNIME version: v4.1.3

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