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  • KNIME 5.9
    KNIME 55.95.8LTS5.75.65.5LTS5.45.35.25.15.0
    KNIME 44.74.64.54.44.34.24.14.0
    KNIME 33.73.6
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  6. Pelatihan Data Science dan AI PLN Nusantara Power UP KendariPelatihan Data Science dan AI PLN Nusantara Power UP Kendari
  7. AI PLN UP Kendari Regression - Prediksi Produksi Daya PLTSAI PLN UP Kendari Regression - Prediksi Produksi Daya PLTS
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AI PLN UP Kendari Regression - Prediksi Produksi Daya PLTS

Auto MPG Data

Auto-MPG data, aggregated by the origin (US, EU, & JP) and plotted over model years (1970-1982). Results are plotted in a line plot (mean MPG) and in a stacked area chart (counts per origin).

Nodes

  • Line Plot5 ×
  • Numeric Scorer5 ×
  • XGBoost Predictor (Regression)2 ×
  • CSV Reader1 ×
  • Column Filter1 ×
  • Linear Regression Learner1 ×
  • Random Forest Learner (Regression)1 ×
  • Random Forest Predictor (Regression)1 ×
  • Regression Predictor1 ×
  • Simple Regression Tree Learner1 ×
  • Simple Regression Tree Predictor1 ×
  • Statistics1 ×
  • Statistics View1 ×
  • Partitioning1 ×
  • XGBoost Linear Model Learner (Regression)1 ×
  • XGBoost Tree Ensemble Learner (Regression)1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Statistics Nodes
  • FeatureKNIME Views
  • FeatureKNIME XGBoost Integration

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: Satoru
Created at: 2020-03-03
On NodePit since: 2025-10-01
Last update: 2026-02-03
Created with KNIME version: v5.5.1
Tags: PivotAggregationComposite view

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