Skip to content

The aim of this project is to create the best possible classification models for the given variable "Biodegradable" using any method covered in class. The models should examine different hyperparameters and select the best one, while preferring the simplest models.

Notifications You must be signed in to change notification settings

fh0312/Machine_Learning_Project

Repository files navigation

EC_Projeto_2

Authors:

  • Francisco Henriques - fc56348
  • Miguel Seabra - fc56344
  • Guilherme Marques - fc55472

Aim:

  • Students should provide the best possible classification models using whatever method covered in class
  • Variable to Classify is Biodegradable
  • Models should examine different hyperparameters and select the best one [Remember: everything else being similar, the simplest models should be preferred]

Processing notes:

  • Data is not normalized
  • Data has categorical and continuous variables
  • Data has missing values which should be handled accordingly
  • Data has 41 columns, and not all are important

Objectives:

  • Produce the best Classification model
  • For the best model, test different hyperparameters
  • Identify the most significant features

About

The aim of this project is to create the best possible classification models for the given variable "Biodegradable" using any method covered in class. The models should examine different hyperparameters and select the best one, while preferring the simplest models.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages