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  8. Stunting Detection using Decision Tree AlgorithmStunting Detection using Decision Tree Algorithm
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Stunting Detection using Decision Tree Algorithm

This project will create a stunting detection model using decision tree nodes.

URL: Link Download Dataset https://www.kaggle.com/datasets/rendiputra/stunting-balita-detection-121k-rows

Nodes

  • Scorer6 ×
  • Decision Tree Learner2 ×
  • Decision Tree Predictor2 ×
  • Box Plot1 ×
  • CSV Reader1 ×
  • Column Renamer1 ×
  • K Nearest Neighbor1 ×
  • Logistic Regression Learner1 ×
  • Logistic Regression Predictor1 ×
  • Naive Bayes Learner1 ×
  • Naive Bayes Predictor1 ×
  • Normalizer1 ×
  • Partitioning1 ×
  • Random Forest Learner1 ×
  • Random Forest Predictor1 ×
  • Rule Engine1 ×
  • Statistics1 ×
  • String Replacer1 ×
  • X-Aggregator1 ×
  • X-Partitioner1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Javasnippet
  • FeatureKNIME Statistics Nodes
  • FeatureKNIME Views

Links

  • No links available

Download

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

Download Workflow
Created by: WizResQ
Created at: 2024-05-22
On NodePit since: 2024-05-23
Last update: 2025-06-01
Created with KNIME version: v5.2.3
Tags: stuntingmachine learningdetectiondecision treesupervised

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