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iris_​sample_​demo

Initial steps - Read .data file- Preprocess: + Rename columns + Remove rows with null values VisualizationColor the Chart and plot the bar graph Analysis - Z-Scale Normalization- Split train-test (80-20)- Use Decision Tree Models to build model- Predict and Calculate score read iris from .data filesplit 80-20 (train-test)z-scale for 4 dimNode 6predict test datacalc accuracyNode 10Node 11export outputFile Reader Partitioning Normalizer (PMML) DecisionTree Learner Decision TreePredictor Scorer Color Manager Bar Chart preprocess CSV Writer Initial steps - Read .data file- Preprocess: + Rename columns + Remove rows with null values VisualizationColor the Chart and plot the bar graph Analysis - Z-Scale Normalization- Split train-test (80-20)- Use Decision Tree Models to build model- Predict and Calculate score read iris from .data filesplit 80-20 (train-test)z-scale for 4 dimNode 6predict test datacalc accuracyNode 10Node 11export outputFile Reader Partitioning Normalizer (PMML) DecisionTree Learner Decision TreePredictor Scorer Color Manager Bar Chart preprocess CSV Writer

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Created by: lap02804
Created at: 2023-08-13
On NodePit since: 2023-08-14
Last update: 2024-04-27
Created with KNIME version: v4.4.0

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