Icon

Final Project FAI - og

Foundational Aspects of Information

Spring Semester 2025-2026

NOVA Information Management School

Constança Facaia, 20251281

Fernanda Torquetto, 20251294

Data Understanding

Sheet 2 (BD) - 8000

Data Preparation

Data Understanding

Sheet 1 (Mail) - 2000

Clustering: K-means

Classification: KNN

Classification: Decision Tree

Save your predictions

Store accuracy
Table View
K Nearest Neighbor
Row Filter
Scorer
Column Filter
Variable to Table Column
ComputeSSw SSt SSb R2for each k
Sum of Squares
Data preparation
3
k-Means
k-Means
Line Plot
Denormalizer
4
k-Means
5
k-Means
for each k from 1 to k_max
Interval Loop Start
increase k
Loop End
Store accuracy
Table View
Scorer
k-Means
Row Filter
for each k from 1 to k_max
Interval Loop Start
increase minimum number of records per node
Loop End
Line Plot
Column Filter
Store R2
Table View
Variable to Table Column
Excel Reader
for each min number per node to 20
Interval Loop Start
Rule Engine
Decision Tree Learner
Line Plot
Decision Tree Predictor
Data Preparation
increase k
Loop End
Joiner
k = 3
K Nearest Neighbor
Decision Tree Learner
Column Renamer
Column Filter
Column Resorter
Column Appender
Decision Tree Learner
Decision Tree Predictor
Predict Training Data
Data Understanding
Decision Tree Predictor
Excel Reader
Binary Classification Inspector
Save yoursubmission.csv
CSV Writer
Data Understanding

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: ftorq
Created at: 2026-05-26
On NodePit since: 2026-06-05
Last update: 2026-06-09
Created with KNIME version: v5.11.0

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!