CASE STUDY

HOSPITALITY

  1. Sriya-AI algorithms can accurately classify whether a hotel booking will be cancelled or checked-out.
  2. The dataset has 119,390 records with 16 Categorical and 14 Numerical features.
  3. Models were created using Decision Tree, RNN, MLP, Random Forest, and XGBoost with performance measured for feature sets of 25, 49, 73, and 88.
  4. Sriya-AI algorithms can classify whether a hotel booking will be cancelled or checked-out with an average accuracy between 88% – 95%