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KNIME_​project1

Importing data file
CSV Reader
Create a 50/50 random sample
Table Partitioner
Convert numeric values in "Bankrupt?" to nominal
Rule Engine
Explore data to find outliers
Data Explorer
Explore summary statistics to find missing data
Statistics
Normalize your numeric features with z-score scaling.
Normalizer (PMML)
Color Manager
Find highly correlated variables (correlation > 0.95)
Linear Correlation
Scatter Plot (legacy)
Create a scatter plot for the colored k-means clusters
Scatter Plot (JavaScript) (legacy)
Hierarchical Clustering
Explore summary statistics to find missing data
Statistics
Bankruptcy to debt ratio
Scatter Plot
Filter out highly correlated variables
Column Filter
Scatter Plot (JavaScript) (legacy)
Explore data to find outliers
Data Explorer
Run Logistic Regression
Logistic Regression Predictor
Set up Logistic Regression
Logistic Regression Learner
Bankruptcy to debt ratio
Scatter Plot
Find and fixmissing values
Missing Value
Set up Random Forest
Random Forest Learner
Run Random Forest
Random Forest Predictor
View Logistic Regression
Scorer
Run Random Forest
Random Forest Predictor
View Random Forest (full set)
Scorer
View Random Forest (reduced set)
Scorer
Set up Random Forest
Random Forest Learner
Create a 80/20random sample
Table Partitioner
Color the cluster
Color Manager
Convert "Bankrupt?" to String
Number to String
Create a 80/20random sample
Table Partitioner
Find and fixmissing values
Missing Value
Create k-means clusters
k-Means

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: flojo
Created at: 2026-05-23
On NodePit since: 2026-05-25
Last update: 2026-05-25
Created with KNIME version: v5.11.0

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