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(Titanic)_​ML_​Steps

CSV Reader
Statistics
Table Partitioner
Age Histogram
Interactive Histogram (legacy)
Fare Histogram
Interactive Histogram (legacy)
Survived
Bar Chart
Gender
Bar Chart
Number to String
Decision Tree Learner
Tree Ensemble Statistics
Random Forest Learner
Random Forest Predictor
Decision Tree Predictor
Scorer
Gradient Boosted Trees Predictor
Scorer
Scorer
Gradient Boosted Trees Learner
Testing data normalized
Normalizer
survived colors
Color Manager
Logistic Regression Learner
Training data Normalized
Normalizer
passenger class
Bar Chart
Handing missing values(Age with median&Embarked with mode)
Missing Value
K Nearest Neighbor
how age group pay fair
Scatter Plot
Sex and Embarked converted to categorical
Category to Number
Scorer
remove unnecessary columns
Column Filter
Logistic Regression Predictor
Finding missing values
Missing Value Column Filter
Scorer
Removed unnecessary columns
Column Filter
Scorer
Feature Engineering: Added two columns1. FamilySize2. IsAlone
Expression
SVM Learner
One hot encoding for Sex and Embarked columns
One to Many
SVM Predictor

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: jawwa
Created at: 2025-11-27
On NodePit since: 2025-12-03
Last update: 2025-12-03
Created with KNIME version: v5.8.0

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