Breast Cancer Classification

J48 vs MLP Machine Learning Analysis.
Compared accuracy of Decision Tree and MLP algorithms on UCI dataset.


Breast Cancer Classification: J48 vs MLP

Machine Learning & Data Analysis Project (Excel & Weka) — Oakville, ON

  • Compared J48 Decision Tree (71.1% accuracy) and MLP (67.6%) on the UCI Breast Cancer dataset over 30 trials; recommended J48 based on Excel analysis and supporting research.
  • Performed data cleaning, validation, and visualization in Weka and Excel, effectively communicating model performance and insights to peers.

Written by

Maryam Elhamidi

Maryam Elhamidi

Data Analyst based
in Toronto


Contributors: