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Z_​SVM example

adjust parameter hereNode 3Node 4Node 5Node 6Calculate AUCsNormalizepredictorsSens, Spec,PPV, NPVDropcorr>0.80PearsonCCcollect resultsCV;collect results10-fold CV &strat samplingSVMpredictionOptimizesigmaSVM withRBFNode 47Parameter OptimizationLoop Start ParameterOptimization Loop End LIBSVMLearner LIBSVMPredictor Scorer ROC Curve Normalizer Scorer Correlation Filter Linear Correlation ParameterOptimization Loop End X-Aggregator X-Partitioner SVM Predictor Parameter OptimizationLoop Start SVM Learner Excel Reader (XLS) adjust parameter hereNode 3Node 4Node 5Node 6Calculate AUCsNormalizepredictorsSens, Spec,PPV, NPVDropcorr>0.80PearsonCCcollect resultsCV;collect results10-fold CV &strat samplingSVMpredictionOptimizesigmaSVM withRBFNode 47Parameter OptimizationLoop Start ParameterOptimization Loop End LIBSVMLearner LIBSVMPredictor Scorer ROC Curve Normalizer Scorer Correlation Filter Linear Correlation ParameterOptimization Loop End X-Aggregator X-Partitioner SVM Predictor Parameter OptimizationLoop Start SVM Learner Excel Reader (XLS)

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