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preprocess + modeling (use this)

Binning

Group rare countries to "Other"

Handle Outliers

Redundant Column removal using Correlation

Binning

Group rare countries to "Other"

Handle Outliers

Redundant Column removal using Correlation

Min-Max Scaling
Normalizer
String to Number
Remove redundant Columns
Correlation Filter
Purchase Influencelabel encoding
Rule Engine
Age Banding
Rule Engine
Count Entries by Country
GroupBy
New Applicant Input
Table Creator
Stack Overflow Developer Survey 2023
CSV Reader
One Hot Encoding fornominal Columns
One to Many
Calculate 25% and 75% Salary percentile for each country
GroupBy
Education Bandingand Label Encoding
Rule Engine
Lookup Countries labeled as "Other"
Value Lookup
Joiner
Calculate correlation Matrix
Rank Correlation
Random Forest Predictor (Regression)
Turn "NA" string to real Missing Value
String Manipulation (Multi Column)
Handle null values(replace with median or most frequent)
Missing Value
Label countries with less than 400 entries as "Other"
Rule Engine
Min-Max Scaling
Normalizer
Org Size Banding
Rule Engine
Count Encoding for Multi Choice Columns
String Manipulation (Multi Column)
Convert qualitative to quantitative in "YearsCodePro"
String Manipulation
Linear Regression Learner
Regression Predictor
Numeric Scorer
Numeric Scorer
Simple Regression Tree Learner
Simple Regression Tree Predictor
Joiner
Calculate 25% and 75% Salary percentile for each country
GroupBy
XGBoost Tree Ensemble Learner (Regression)
Numeric Scorer
Manual Removal of Irrelevant Columns
Column Filter
Parameter Optimization Loop Start
String to Number
XGBoost Predictor (Regression)
Remove columns with more than50% missing values
Missing Value Column Filter
Replace Outliers with Percentile Value
Rule Engine
Keras Input Layer
Column Filter
Keras Network Learner
Concatenate
Keras Dense Layer
Keras Dense Layer
Convert qualitative to quantitative in "YearsCode"
String Manipulation
Keras Dense Layer
Lookup Countries labeled as "Other"
Value Lookup
Keras Dense Layer
Remove redundant Columns
Correlation Filter
Only Retain Employed Respondentand Non Null Target Label
Row Filter
Keras Network Learner
Convert qualitative to quantitative in "YearsCode"
String Manipulation
Replace Outliers with Percentile Value
Rule Engine
Only Retain Employed Respondentand Non Null Target Label
Row Filter
Purchase Influencelabel encoding
Rule Engine
Numeric Scorer
Column Filter
One Hot Encoding fornominal Columns
One to Many
Age Banding
Rule Engine
Keras Network Executor
Parameter Optimization Loop End
Convert qualitative to quantitative in "YearsCodePro"
String Manipulation
Create Collection Column
Org Size Banding
Rule Engine
Handle null values(replace with median or most frequent)
Missing Value
XGBoost Predictor (Regression)
Random Forest Predictor (Regression)
Numeric Outliers
Remove columns with more than50% missing values
Missing Value Column Filter
Numeric Scorer
Education Bandingand Label Encoding
Rule Engine
Table Partitioner
Label countries with less than 400 entries as "Other"
Rule Engine
Random Forest Learner (Regression)
Count Encoding for Multi Choice Columns
String Manipulation (Multi Column)
Count Entries by Country
GroupBy
Turn "NA" string to real Missing Value
String Manipulation (Multi Column)
Stack Overflow Developer Survey 2023
CSV Reader
Numeric Scorer
Calculate correlation Matrix
Rank Correlation
Numeric Outliers
Split 80-20
Table Partitioner
Manual Removal of Irrelevant Columns
Column Filter

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: ADMIN
Created at: 2025-10-24
On NodePit since: 2025-10-27
Last update: 2025-11-20
Created with KNIME version: v5.8.0

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