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20211008 Pikairos Machine learning Classification SVM ROC Curve

Training 70 %Test 30 %StatisticsTrain usinga SVM withPolynomialKernelsPredict Test setand GenerateNormalized Class Distribution===ProbabilitiesAccident DataConvert Variableto Predict to NominalFilter Variablestoo much Correlatedto Variable to PredictNormalizeTraining Data:Z-Score (Gaussian)Apply sameNormalizationto Test DataPartitioning Scorer ROC Curve (local) SVM Learner SVM Predictor CSV Reader String Manipulation Column Filter Normalizer Normalizer (Apply) Training 70 %Test 30 %StatisticsTrain usinga SVM withPolynomialKernels Predict Test setand GenerateNormalized Class Distribution===ProbabilitiesAccident DataConvert Variableto Predict to NominalFilter Variablestoo much Correlatedto Variable to PredictNormalizeTraining Data:Z-Score (Gaussian)Apply sameNormalizationto Test DataPartitioning Scorer ROC Curve (local) SVM Learner SVM Predictor CSV Reader String Manipulation Column Filter Normalizer Normalizer (Apply)

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Created by: Muhammad Haroon
Created at: 2021-10-07
On NodePit since: 2022-02-06
Last update: 2024-12-22
Created with KNIME version: v4.4.1

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