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v6

Exploratory Data Analysis

Baseline Prediction Models

Feature Group Comparison

Student Segmentation

Single-Factor Analysis

Feature Engineering Models

"placement score" Models

Feature Filtering Models

Normalizer
Decision Trees
Feature Selection Filter
Concatenate
Logistic Regression
Logistic Regression
MLP
Random Forest
Concatenate
Concatenate
Column Filter
Optimizing accuracy
Feature Selection
Decision Trees
Data Explorer
crosstab
String to Number
MLP
k-Means
Random Forest
Optimization Loop Tree Parameters
CSV Reader
Column Filter
Logistic Regression
Value Counter
Logistic Regression
Gradient Boosted Trees
Table Partitioner
Gradient Boosted Trees
Optimization Loop Tree Parameters
MLP
Random Forest
Bar Chart
Silhouette Coefficient
Gradient Boosted Trees
Optimization Loop Tree Parameters
Decision Trees
Table Creator
Column Filter
Column Filter
Table Partitioner
K means
One-way ANOVA
Linear Correlation
Box Plot
One to Many
GroupBy
Column Filter
Row Sampler
Number to String
Bar Chart
Independent groups t-test
feature engineering
String to Number
Linear 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: 57
Created at: 2026-04-13
On NodePit since: 2026-05-15
Last update: 2026-05-15
Created with KNIME version: v5.11.0

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