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KNIME_​Classification_​Churn_​Santiago

Local File System Connector
ROC Curve
Mountpoint Connector
CSV Reader
We explore the dataset and see its statistics
Statistics View
We analyze the balance of classes 1 and 0
Value Counter
We delete row "customer_id"
Column Filter
Monthly charges frequency
Histogram
normalizing the dataset
Normalizer
See the distribution
Pie Chart
Logistic Regression Predictor
Scorer
convert categorical variables to numeric variables
One to Many
Logistic Regression Learner
ROC Curve
dividing the dataset
Table Partitioner
Random Forest Predictor
Normalizer (Apply)
Random Forest Learner
Number to String
Scorer
Values importance
Linear Correlation
Number to String

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: santiagojimenez
Created at: 2025-10-09
On NodePit since: 2025-10-10
Last update: 2025-10-10
Created with KNIME version: v5.7.0

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