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Z_​SVM example_​SF

adjust parameter hereNode 3Node 4Node 5Calculate AUCsNormalizepredictorsSens, Spec,PPV, NPVDropcorr>0.80PearsonCCcollect resultsCV;collect results10-fold CV &strat samplingSVMpredictionOptimizesigmaSVM withRBFNode 46MarcBSampleNode 48Node 49Node 50Node 51Parameter OptimizationLoop Start ParameterOptimization Loop End LIBSVMLearner LIBSVMPredictor ROC Curve Normalizer Scorer (deprecated) Correlation Filter Linear Correlation ParameterOptimization Loop End X-Aggregator X-Partitioner SVM Predictor Parameter OptimizationLoop Start SVM Learner Excel Reader (XLS) Table Reader Table Rowto Variable X-Partitioner X-Aggregator Scorer adjust parameter hereNode 3Node 4Node 5Calculate AUCsNormalizepredictorsSens, Spec,PPV, NPVDropcorr>0.80PearsonCCcollect resultsCV;collect results10-fold CV &strat samplingSVMpredictionOptimizesigmaSVM withRBFNode 46MarcBSampleNode 48Node 49Node 50Node 51Parameter OptimizationLoop Start ParameterOptimization Loop End LIBSVMLearner LIBSVMPredictor ROC Curve Normalizer Scorer (deprecated) Correlation Filter Linear Correlation ParameterOptimization Loop End X-Aggregator X-Partitioner SVM Predictor Parameter OptimizationLoop Start SVM Learner Excel Reader (XLS) Table Reader Table Rowto Variable X-Partitioner X-Aggregator Scorer

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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: Usuario
Created at: 2020-07-22
On NodePit since: 2022-02-06
Last update: 2024-04-24
Created with KNIME version: v4.2.0

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