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predictive_​model

Binning

Group rare countries to "Other"

Handle Outliers

Redundant Column removal using Correlation

train set
CSV Reader
test set
CSV Reader
Manual Removal of Irrelevant Columns
Column Filter
Parameter Optimization Loop Start
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
Remove columns with more than50% missing values
Missing Value Column Filter
Stack Overflow Developer Survey 2023
CSV Reader
Replace Outliers with Percentile Value
Rule Engine
One Hot Encoding fornominal Columns
One to Many
Column Filter
Education Bandingand Label Encoding
Rule Engine
Lookup Countries labeled as "Other"
Value Lookup
Concatenate
Random Forest Predictor (Regression)
Turn "NA" string to real Missing Value
String Manipulation (Multi Column)
Label countries with less than 400 entries as "Other"
Rule Engine
Min-Max Scaling
Normalizer
Convert qualitative to quantitative in "YearsCode"
String Manipulation
Only Retain Employed Respondentand Non Null Target Label
Row Filter
Parameter Optimization Loop End
Convert qualitative to quantitative in "YearsCodePro"
String Manipulation
Org Size Banding
Rule Engine
Handle null values(replace with median or most frequent)
Missing Value
Random Forest Predictor (Regression)
Numeric Outliers
Numeric Scorer
Table Partitioner
Random Forest Learner (Regression)
Count Encoding for Multi Choice Columns
String Manipulation (Multi Column)
Joiner
Numeric Scorer
Calculate 25% and 75% Salary percentile for each country
GroupBy
Calculate correlation Matrix
Rank Correlation

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: 2025-10-08
On NodePit since: 2025-10-11
Last update: 2025-10-31
Created with KNIME version: v5.8.0

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