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Project 2 - MLDL_​updated

Gradient Boosted Tree
Model Building
Neural Networks
Model Building
Normalization
Data Preprocessing
Random State for initialization is set to 1 for the 'RProp MLP Learner' node.
Random State set to 1 for the 'Partitioning' node.
Decision Trees Unpruned
Decision Trees Pruned
Random Forest
CSV Reader
Random Forest Predictor
Random Forest Learner
Scorer
Scorer
Scorer
Random Forest Predictor
Scorer
Age
Box Plot (JavaScript) (legacy)
profile_completed
Crosstab
time spent on website by status
Conditional Box Plot (JavaScript) (legacy)
Scorer
current occupation
Crosstab
Gradient Boosted Trees Predictor
EDA
Data Explorer
GroupBy
Column Filter
Status
One to Many
first int vs status
Bar Chart
first-interaction
Crosstab
Scorer
Normalizer (Apply)
Scorer
RProp MLP Learner
MultiLayerPerceptron Predictor
Gradient Boosted Trees Learner
Status
Bar Chart (JavaScript) (legacy)
Scorer
Scorer
age by status
Conditional Box Plot (JavaScript) (legacy)
Normalizer
Gradient Boosted Trees Predictor
MultiLayerPerceptron Predictor
Decision Tree Predictor
referral
Crosstab
Decision Tree Predictor
Scorer
Pruned
Decision Tree Learner
Table Partitioner
Decision Tree Predictor
One to Many
Unpruned
Decision Tree Learner
Decision Tree 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: Ayan Dutta
Created at: 2022-03-10
On NodePit since: 2026-02-01
Last update: 2026-02-04
Created with KNIME version: v5.8.0

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