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Titanic_​101_​Phase_​4_​Modeling_​SVM

Titanic: Phase 4 (Modeling) Support Vector Machine v4 v5

URL: Data Science Training - Kapitel 10 https://data-science.training/kapitel-10/

v4: Feature Engineering II (Boolean)Auswahl des KernelsNr Kernel Parameter (Standard-Konfig.) Genauigkeit [%] Präzision [%] F-Maß [%] AURC [%]1 Polynomial power=1,0 / bias=1,0 / gamma=1,0 82,8 81,2 76,3 82,9 *2 HyperTangent kappa=0,1 / delta=0,5 79,3 74,8 72,1 82,63 RBF sigma=0,1 80,2 73,2 74,9 82,1 v5: Feature Engineering III (Double)Auswahl des KernelsNr Kernel Parameter (Standard-Konfig.) Genauigkeit [%] Präzision [%] F-Maß [%] AURC [%]1 Polynomial power=1,0 / bias=1,0 / gamma=1,0 83,1 81,1 76,7 85,1 *2 HyperTangent kappa=0,1 / delta=0,5 67,9 57,4 60,2 73,03 RBF sigma=0,1 77,6 71,0 70,6 81,1 BewertungTrainingsdaten(v4) lesenstratified #10SchleifenendeAURCTrainingPrognoseTrainingBewertungPrognoseTrainingsdaten(v5) lesenstratified #10SchleifenendeAURCBestes ModellModell(v4) speichernBestes ModellModell(v5) speichern Scorer Excel Reader X-Partitioner X-Aggregator ROC Curve (legacy) SVM Learner SVM Predictor SVM Learner Scorer SVM Predictor Excel Reader X-Partitioner X-Aggregator ROC Curve (legacy) SVM Learner PMML Writer SVM Learner PMML Writer v4: Feature Engineering II (Boolean)Auswahl des KernelsNr Kernel Parameter (Standard-Konfig.) Genauigkeit [%] Präzision [%] F-Maß [%] AURC [%]1 Polynomial power=1,0 / bias=1,0 / gamma=1,0 82,8 81,2 76,3 82,9 *2 HyperTangent kappa=0,1 / delta=0,5 79,3 74,8 72,1 82,63 RBF sigma=0,1 80,2 73,2 74,9 82,1 v5: Feature Engineering III (Double)Auswahl des KernelsNr Kernel Parameter (Standard-Konfig.) Genauigkeit [%] Präzision [%] F-Maß [%] AURC [%]1 Polynomial power=1,0 / bias=1,0 / gamma=1,0 83,1 81,1 76,7 85,1 *2 HyperTangent kappa=0,1 / delta=0,5 67,9 57,4 60,2 73,03 RBF sigma=0,1 77,6 71,0 70,6 81,1 BewertungTrainingsdaten(v4) lesenstratified #10SchleifenendeAURCTrainingPrognoseTrainingBewertungPrognoseTrainingsdaten(v5) lesenstratified #10SchleifenendeAURCBestes ModellModell(v4) speichernBestes ModellModell(v5) speichernScorer Excel Reader X-Partitioner X-Aggregator ROC Curve (legacy) SVM Learner SVM Predictor SVM Learner Scorer SVM Predictor Excel Reader X-Partitioner X-Aggregator ROC Curve (legacy) SVM Learner PMML Writer SVM Learner PMML Writer

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Created by: Karl
Created at: 2022-07-04
On NodePit since: 2025-01-13
Last update: 2025-07-20
Created with KNIME version: v5.4.0
Tags: TitanicPhase 4ModelingSupport Vector MachineSVMv4v5

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