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04_​Networks_​and_​Prediction

Predicting Unknown Network Feautures

This workflow predicts unknown feautures of a network using built-in KNIME data mining nodes. The workflow learns a decision tree model to predict the phase of life attribute for network nodes using part of the network where the attribute values are known. The resulting model is used to predict phase of life attribute in parts of the network (nodes) where where where this attribute is unknown.

Learn model on training data This workflow predicts unknown network feautures by learning and applying decision tree models using built-in KNIME data mining nodes. Test model on test data training data (top port) test data (bottom port)filter outunwanted columnsinsert predicted phase of lifefilter phase of life = "unknown"Node 16Node 18Node 20predict unknownNode 22 Feature Table Partitioning Column Filter Feature Inserter Row Splitter Network Writer Decision TreePredictor DecisionTree Learner Scorer Decision TreePredictor Network Reader Learn model on training data This workflow predicts unknown network feautures by learning and applying decision tree models using built-in KNIME data mining nodes. Test model on test data training data (top port) test data (bottom port)filter outunwanted columnsinsert predicted phase of lifefilter phase of life = "unknown"Node 16Node 18Node 20predict unknownNode 22 Feature Table Partitioning Column Filter Feature Inserter Row Splitter Network Writer Decision TreePredictor DecisionTree Learner Scorer Decision TreePredictor Network Reader

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

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On NodePit since: 2021-04-27
Last update: 2026-01-17
Created with KNIME version: v4.1.0
Tags: NetworkMissing value prediction

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