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CASE STUDY

AIR TRANSPORT

  1. Sriya-AI models using Decision tree, RNN, MLP, Random forest, and XGBoost were created for classification
  2. Dataset has 100000 records with 21 categorical and 36 numerical features, with 81.8% of flights having no arrival delays
  3. Sriya-AI algorithms predicted flight arrival status with average accuracy between 70% - 86%