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Exercise3

KBL: Chapter 4 Exercise3
Workflow: Chapter 4/Exercise 3 One more exercise about classification. Calculate basic stats of # visitorsTrain a model to classify weekend vs. no weekend by the # of visitors to a web site.Score model perormances with accuracy and Area under the Curve (AuC). binary_class =Saturday, Sunday => weekendotherwise not weekendkeep # visitors + binary classbasic stats of# visitorsweb site 1.txt filewith path relative to"current workflow"with option "support short data rows"train to predictbinary_class Rule Engine Column Filter Statistics CSV Reader ROC Curve Naive Bayes Learner Naive BayesPredictor Scorer (JavaScript) Workflow: Chapter 4/Exercise 3 One more exercise about classification. Calculate basic stats of # visitorsTrain a model to classify weekend vs. no weekend by the # of visitors to a web site.Score model perormances with accuracy and Area under the Curve (AuC). binary_class =Saturday, Sunday => weekendotherwise not weekendkeep # visitors + binary classbasic stats of# visitorsweb site 1.txt filewith path relative to"current workflow"with option "support short data rows"train to predictbinary_class Rule Engine Column Filter Statistics CSV Reader ROC Curve Naive Bayes Learner Naive BayesPredictor Scorer (JavaScript)

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On NodePit since: 2021-02-21
Last update: 2024-12-23
Created with KNIME version: v4.3.1
Tags: EducationKNIMEPressNaive BayesScorerROC curve

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