Sriya-AI has significantly impacted the travel and tourism
industry. It provides valuable insights into customer behavior
and preferences
The dataset has 259,758 records with 6 Categorical and 19
Numerical Features.
Models were created with algorithms using Sriya-AI techniques
like Decision Tree, Random Forest, XGBoost, Multilayer
Perceptron, and Artificial Neural Network.
Performance measurement values were obtained for feature sets
of 7, 14, 21, and 26.
The Sriya-AI algorithms were able to predict customer
satisfaction rate with an average accuracy between 86% - 93%