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Vorhersagemodell mit KNIME erstellen auf Basis des Titanic Datensatzes

Titanic: Machine Learning from Disaster
https://www.kaggle.com/c/titanic

Einführung in KNIME (deutsch) - https://hub.knime.com/mlauber71/spaces/Public/latest/knime_einfuehrung_beispiel_titanic/

Vorhersagemodell mit KNIME erstellen auf Basis des Titanic Datensatzes

9. you rename and filter the variablesyou can use this with every score and 0/1 Target, just rename them Titanic: Machine Learning from Disasterhttps://www.kaggle.com/c/titanicEinführung in KNIME (deutsch) - https://hub.knime.com/mlauber71/spaces/Public/latest/knime_einfuehrung_beispiel_titanic/Vorhersagemodell mit KNIME erstellen auf Basis des Titanic Datensatzes 2. you filter unwanted variables like IDs4. you train the decision tree model 11. see what rules the model created in SQLarea under the curveScore = submissionoriginal Target = solutionkeep two variables8. you calculate the predicted scores3. you provide information about the variables via a Domain CalculatorAnalyze the modeldata_70.table1. You load a datasets with 70% of your data drawn randomlydata_30.table7. you load the 30% of you data you set aside(this is where to do it with completely new data)../model/model_125_decision_tree.pmml5. and save it as PMML(Predictiv Model Markup Language)../model/model_125_decision_tree.pmml6. You load the model you just savedmodels_125_decision_tree_ruleset.xlsx12. save the SQL rules for further useColumn Filter DecisionTree Learner Decision Treeto Ruleset ROC Curve (local) Column Rename Column Filter Decision TreePredictor Domain Calculator Binary ClassificationInspector Table Reader Table Reader PMML Writer PMML Reader Excel Writer Sorter 9. you rename and filter the variablesyou can use this with every score and 0/1 Target, just rename them Titanic: Machine Learning from Disasterhttps://www.kaggle.com/c/titanicEinführung in KNIME (deutsch) - https://hub.knime.com/mlauber71/spaces/Public/latest/knime_einfuehrung_beispiel_titanic/Vorhersagemodell mit KNIME erstellen auf Basis des Titanic Datensatzes 2. you filter unwanted variables like IDs4. you train the decision tree model 11. see what rules the model created in SQLarea under the curveScore = submissionoriginal Target = solutionkeep two variables8. you calculate the predicted scores3. you provide information about the variables via a Domain CalculatorAnalyze the modeldata_70.table1. You load a datasets with 70% of your data drawn randomlydata_30.table7. you load the 30% of you data you set aside(this is where to do it with completely new data)../model/model_125_decision_tree.pmml5. and save it as PMML(Predictiv Model Markup Language)../model/model_125_decision_tree.pmml6. You load the model you just savedmodels_125_decision_tree_ruleset.xlsx12. save the SQL rules for further useColumn Filter DecisionTree Learner Decision Treeto Ruleset ROC Curve (local) Column Rename Column Filter Decision TreePredictor Domain Calculator Binary ClassificationInspector Table Reader Table Reader PMML Writer PMML Reader Excel Writer Sorter

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Created by: malauber
Created at: 2016-04-26
On NodePit since: 2022-04-04
Last update: 2024-04-27
Created with KNIME version: v4.7.8
Tags: knimeeinführungdeutsch

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