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This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.

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HPML Experiment 4: Chains

This is the 4º experiment for HPML which is based on Classifier Chains.

Enviroments to run experiments

Click here to download

Conda

You can run this experiment in Conda Environment. The name is "AmbienteTeste". To be able to use this env you must first install conda in your computer or server and then install the environment using the following command: conda env create --file AmbienteTeste.yaml

Singularity

You can also run this experiment in a singularity container. Download the recipes and follow this tutorial (in portuguese): https://prensa.li/@cissa.gatto/tutorial-como-criar-um-container-singularity-para-executar-scripts-r-com-java-e-rclone

Code

Step 1

Pre-processing. 10-Fold Cross Validation

Step 2 and 3

Modeling the correlations between the labels and choosing the best dendrogram to generate the hybrid partitions. Code

Step 4, 5 and 6

Building and validating all generated hybrid partitions with the silhouette coefficient. The hybrid partition with the highiest silhouet coefficient is chosen to be tested. Code

Step 7

Building and testing the best chosen hybrid partition.

HPML.D

HPML.D.CI

HPML.D.CE

HPML.D.CEI

Global Partitions

Code

Local Partitions

Code

Download Results

Acknowledgment

  • This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
  • This study was financed in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brasil (CNPQ) - Process number 200371/2022-3.
  • The authors also thank the Brazilian research agencies FAPESP financial support.

Contact

elainececiliagatto@gmail.com

Links

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