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Bank Marketing - Customer Prediction Main

Import the UCI Bank Marketing dataset from CSV format into KNIME
CSV Reader
Examine the dataset using Statistics and Handle missing values to improve data quality
Statistics
Missing Value
Calculate column domains and ensure variables are correctly represented for machine - learning processing.
Domain Calculator
Split the dataset into 80% and 20% testing data using a reproduciible random seed.
Table Partitioner
Train a random forest classification model using the training dataset to predict customer subscription.
Random Forest Learner
Random Forest Predictor
Apply the trained model to unseen test data and evaluate performance using a confusion matrix and classification accuracy.
Scorer

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: filipmateuszuk
Created at: 2026-10-07
On NodePit since: 2026-10-08
Last update: 2026-10-13
Created with KNIME version: v5.12.0

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