Icon

Titanic_​102_​Phase_​5_​Evaluation_​SVM

Titanic: Phase 5 (Evaluation) Support Vector Machine v4 v5

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

Real World Testv4: Feature Engineering II (Boolean)Linearer Kernel, Standard-Konfig.Genauigkeit: 76,79 %Präzision: 69,18 %F-Maß: 69,40 %AURC: 76,16 %Statistik: # DatensätzeBewertung: 418Modellbildung: 891 Real World Testv5: Feature Engineering III (Double)Linearer Kernel, Standard-Konfig.Genauigkeit: 77,99 %Präzision: 70,37 %F-Maß: 71,25 %AURC: 79,29 %Statistik: # DatensätzeBewertung: 418Modellbildung: 891 Testdaten(v4) lesenBestes Modell(v4) lesenPrognoseTestdaten(v5) lesenBestes Modell(v5) lesenPrognose4 SpaltenPassengerId,Survived,ProbN, ProbPAbgabedatei(svm v5)Survived4 SpaltenPassengerId,Survived,ProbN, ProbPAbgabedatei(svm v4)SurvivedSurvived,ProbN, ProbPSurvived,ProbN, ProbP Excel Reader PMML Reader SVM Predictor Excel Reader PMML Reader SVM Predictor Column Filter Column Resorter CSV Writer String to Number Column Filter Column Resorter CSV Writer String to Number Column Renamer Column Renamer Real World Testv4: Feature Engineering II (Boolean)Linearer Kernel, Standard-Konfig.Genauigkeit: 76,79 %Präzision: 69,18 %F-Maß: 69,40 %AURC: 76,16 %Statistik: # DatensätzeBewertung: 418Modellbildung: 891 Real World Testv5: Feature Engineering III (Double)Linearer Kernel, Standard-Konfig.Genauigkeit: 77,99 %Präzision: 70,37 %F-Maß: 71,25 %AURC: 79,29 %Statistik: # DatensätzeBewertung: 418Modellbildung: 891 Testdaten(v4) lesenBestes Modell(v4) lesenPrognoseTestdaten(v5) lesenBestes Modell(v5) lesenPrognose4 SpaltenPassengerId,Survived,ProbN, ProbPAbgabedatei(svm v5)Survived4 SpaltenPassengerId,Survived,ProbN, ProbPAbgabedatei(svm v4)SurvivedSurvived,ProbN, ProbPSurvived,ProbN, ProbPExcel Reader PMML Reader SVM Predictor Excel Reader PMML Reader SVM Predictor Column Filter Column Resorter CSV Writer String to Number Column Filter Column Resorter CSV Writer String to Number Column Renamer Column Renamer

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Karl
Created at: 2022-06-27
On NodePit since: 2025-01-13
Last update: 2025-07-08
Created with KNIME version: v5.4.0
Tags: TitanicPhase 5EvaluationSupport Vector MachineSVMv4v5

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!