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04-simple-classifiers-solution

Decision Tree Credit Scoring Decision Tree Marketing Campaign Response kNN Marketing Campaign Response Naive Bayes Marketing Campaign Response Random Forest Marketing Campaign Response Log. Regression Marketing Campaign Response SVM Marketing Campaign Response it is assumed that there is a data directorycontaining the CSV files on the same level asthe workflow Node 3Node 4Node 7Node 8schöner!binning age groupszip codesNode 12Node 13random seed:898989Node 17Node 18Node 19random seed:898989Node 21Node 22Node 23random seed:898989Node 25Node 26Node 27Node 28Node 29Node 30Node 32Node 33Node 34Node 35Node 36Node 38Node 42Node 43Node 44Node 45random seed:898989Node 50Node 51einfachKreditwürdigkeit.xlsxKreditwürdigkeitBeispiel.xlsxData-Marketing-Mailing.csv DecisionTree Learner Decision TreePredictor DecisionTree Learner Decision TreePredictor Scorer (JavaScript) Numeric Binner Column Filter K Nearest Neighbor Partitioning Scorer (JavaScript) Naive Bayes Learner Naive BayesPredictor Partitioning Scorer (JavaScript) Random ForestLearner Random ForestPredictor Partitioning Scorer (JavaScript) LogisticRegression Learner Logistic RegressionPredictor Partitioning One to Many Normalizer ROC Curve (local) Data Explorer One to Many Normalizer Double To Int One to Many Normalizer Partitioning SVM Learner SVM Predictor Partitioning Scorer (JavaScript) Scorer (JavaScript) Scorer Excel Reader Excel Reader CSV Reader Decision Tree Credit Scoring Decision Tree Marketing Campaign Response kNN Marketing Campaign Response Naive Bayes Marketing Campaign Response Random Forest Marketing Campaign Response Log. Regression Marketing Campaign Response SVM Marketing Campaign Response it is assumed that there is a data directorycontaining the CSV files on the same level asthe workflow Node 3Node 4Node 7Node 8schöner!binning age groupszip codesNode 12Node 13random seed:898989Node 17Node 18Node 19random seed:898989Node 21Node 22Node 23random seed:898989Node 25Node 26Node 27Node 28Node 29Node 30Node 32Node 33Node 34Node 35Node 36Node 38Node 42Node 43Node 44Node 45random seed:898989Node 50Node 51einfachKreditwürdigkeit.xlsxKreditwürdigkeitBeispiel.xlsxData-Marketing-Mailing.csvDecisionTree Learner Decision TreePredictor DecisionTree Learner Decision TreePredictor Scorer (JavaScript) Numeric Binner Column Filter K Nearest Neighbor Partitioning Scorer (JavaScript) Naive Bayes Learner Naive BayesPredictor Partitioning Scorer (JavaScript) Random ForestLearner Random ForestPredictor Partitioning Scorer (JavaScript) LogisticRegression Learner Logistic RegressionPredictor Partitioning One to Many Normalizer ROC Curve (local) Data Explorer One to Many Normalizer Double To Int One to Many Normalizer Partitioning SVM Learner SVM Predictor Partitioning Scorer (JavaScript) Scorer (JavaScript) Scorer Excel Reader Excel Reader CSV Reader

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

Download Workflow
Created by: Ralph
Created at: 2019-12-09
On NodePit since: 2021-06-08
Last update: 2024-04-30
Created with KNIME version: v4.3.2

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