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KNIME_​project5

CSV Reader
Handle missing values in uploaded Facebook campaign data
Missing Value
Remove duplicate campaign rows
Duplicate Row Filter
Filter out raw text or leakage columns before modeling
Column Filter
Compute correlations among numeric Facebook metrics
Linear Correlation
Compute PCA for dimensionality reduction
PCA Compute
Split cleaned data into train and test partitions
Table Partitioner
Evaluate linear regression predictions
Numeric Scorer
Train linear regression to predict Total Interactions
Linear Regression Learner
Evaluate random forest regression predictions
Numeric Scorer
Predict Total Interactions with linear regression
Regression Predictor
Visualize distribution of engagement-related metrics
Histogram
Train random forest regression to predict Total Interactions
Random Forest Learner (Regression)
Predict Total Interactions with random forest regression
Random Forest Predictor (Regression)
Visualize relationship between reach and total interactions
Scatter Plot

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: User
Created at: 2026-05-22
On NodePit since: 2026-05-23
Last update: 2026-05-23
Created with KNIME version: v5.11.0

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