Icon

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)

Nodes

Extensions

Links

Download

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

Download Workflow
On NodePit since: 2021-02-21
Last update: 2024-11-14
Created with KNIME version: v4.3.1
Tags: EducationKNIMEPressNaive BayesScorerROC curve

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

Try NodePit Runner!