Icon

naive Bayes - Stromverträge

Naive Bayes mit Distinct sampling fürpower consumption und number ofhouseholds, es werden nur die dreiWerte HHH, PowerConsumption undPaymentMethod verwendet. MissingValues werden durch -1 ersetzt.Non-canceler werden manuelldowngesampelt 6000€ Einsparung Reading of Training DataReading of Classification DataMean bildenNode 23canceler & predictionTarget Function per RowLast Column Displays ResultReading of Real Datacanceler & predictionNode 40Last Column Displays ResultTarget Function per RowPower cut5000HHH cut10Node 10160:40Node 105Node 108Node 109Node 110Node 111Node 112Power cut5000HHH cut10Node 115Node 116Node 117HHH cut10Power cut5000Node 120Node 121Node 122HHH cut10canceler & predictionLast Column Displays ResultNode 127Node 128Node 129Power cut5000Target Function per RowNode 132Mean bildenNode 13560:40Node 139Last Column Displays Resultcanceler & predictionTarget Function per RowNode 143Node 146Node 147HHH cut10Power cut500060:40Node 152Node 153Mean bildenNode 156Power cut5000Target Function per RowNode 159Last Column Displays ResultNode 161Node 162Node 163Node 164HHH cut10canceler & predictionLast Column Displays Resultcanceler & predictionTarget Function per RowNode 172Node 173Node 174Node 175 CSV Reader CSV Reader Missing Value Missing Value(Apply) Column Filter Java Snippet(simple) Java Snippet(simple) CSV Reader Column Filter Joiner Java Snippet(simple) Java Snippet(simple) Java Snippet(simple) Java Snippet(simple) Scorer (JavaScript) Number To String Partitioning Naive Bayes Learner Naive BayesPredictor Number To String Naive BayesPredictor Auto-Binner Auto-Binner (Apply) Column Filter Column Filter Java Snippet(simple) Java Snippet(simple) Double To Int Double To Int Equal Size Sampling Java Snippet(simple) Java Snippet(simple) Double To Int Double To Int Equal Size Sampling Java Snippet(simple) Column Filter Java Snippet(simple) Joiner Column Filter Column Filter Java Snippet(simple) Java Snippet(simple) Missing Value(Apply) Missing Value Number To String Naive BayesPredictor Partitioning Naive Bayes Learner Naive BayesPredictor Java Snippet(simple) Column Filter Java Snippet(simple) Scorer (JavaScript) Number To String Partitioning Row Splitter Concatenate Java Snippet(simple) Java Snippet(simple) Partitioning Naive Bayes Learner Naive BayesPredictor Missing Value(Apply) Missing Value Number To String Naive BayesPredictor Java Snippet(simple) Java Snippet(simple) Column Filter Java Snippet(simple) Joiner Column Filter Double To Int Scorer (JavaScript) Number To String Java Snippet(simple) Column Filter Java Snippet(simple) Column Filter Java Snippet(simple) Double To Int Auto-Binner Auto-Binner (Apply) Scorer (JavaScript) Naive Bayes mit Distinct sampling fürpower consumption und number ofhouseholds, es werden nur die dreiWerte HHH, PowerConsumption undPaymentMethod verwendet. MissingValues werden durch -1 ersetzt.Non-canceler werden manuelldowngesampelt 6000€ Einsparung Reading of Training DataReading of Classification DataMean bildenNode 23canceler & predictionTarget Function per RowLast Column Displays ResultReading of Real Datacanceler & predictionNode 40Last Column Displays ResultTarget Function per RowPower cut5000HHH cut10Node 10160:40Node 105Node 108Node 109Node 110Node 111Node 112Power cut5000HHH cut10Node 115Node 116Node 117HHH cut10Power cut5000Node 120Node 121Node 122HHH cut10canceler & predictionLast Column Displays ResultNode 127Node 128Node 129Power cut5000Target Function per RowNode 132Mean bildenNode 13560:40Node 139Last Column Displays Resultcanceler & predictionTarget Function per RowNode 143Node 146Node 147HHH cut10Power cut500060:40Node 152Node 153Mean bildenNode 156Power cut5000Target Function per RowNode 159Last Column Displays ResultNode 161Node 162Node 163Node 164HHH cut10canceler & predictionLast Column Displays Resultcanceler & predictionTarget Function per RowNode 172Node 173Node 174Node 175 CSV Reader CSV Reader Missing Value Missing Value(Apply) Column Filter Java Snippet(simple) Java Snippet(simple) CSV Reader Column Filter Joiner Java Snippet(simple) Java Snippet(simple) Java Snippet(simple) Java Snippet(simple) Scorer (JavaScript) Number To String Partitioning Naive Bayes Learner Naive BayesPredictor Number To String Naive BayesPredictor Auto-Binner Auto-Binner (Apply) Column Filter Column Filter Java Snippet(simple) Java Snippet(simple) Double To Int Double To Int Equal Size Sampling Java Snippet(simple) Java Snippet(simple) Double To Int Double To Int Equal Size Sampling Java Snippet(simple) Column Filter Java Snippet(simple) Joiner Column Filter Column Filter Java Snippet(simple) Java Snippet(simple) Missing Value(Apply) Missing Value Number To String Naive BayesPredictor Partitioning Naive Bayes Learner Naive BayesPredictor Java Snippet(simple) Column Filter Java Snippet(simple) Scorer (JavaScript) Number To String Partitioning Row Splitter Concatenate Java Snippet(simple) Java Snippet(simple) Partitioning Naive Bayes Learner Naive BayesPredictor Missing Value(Apply) Missing Value Number To String Naive BayesPredictor Java Snippet(simple) Java Snippet(simple) Column Filter Java Snippet(simple) Joiner Column Filter Double To Int Scorer (JavaScript) Number To String Java Snippet(simple) Column Filter Java Snippet(simple) Column Filter Java Snippet(simple) Double To Int Auto-Binner Auto-Binner (Apply) 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
Created by: felix
Created at: 2023-06-20
On NodePit since: 2023-06-21
Last update: 2024-12-26
Created with KNIME version: v4.7.4

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

Try NodePit Runner!