Skip to content

Latest commit

 

History

History
19 lines (17 loc) · 453 Bytes

File metadata and controls

19 lines (17 loc) · 453 Bytes

ML models for misinformation detection

This folder contains our refined models and vectorizers (with TF-IDF weighting) for identifying each myth related to COVID-19:

  • 5G
  • antibiotics
  • disinfectants
  • home_remedies
  • hydroxychloroquine
  • mosquitoes
  • uv_light
  • weather

We used the following model types:

  • K-Nearest Neighbors
  • Decision Tree
  • Random Forest
  • Multinomial Naive Bayes
  • Logistic Regression
  • Multi-Layer Perceptron