CHEMICAL

1. Sriya-AI models for predicting aqueous solubility can accelerate the discovery and development of new compounds in the chemical industry.
2. The dataset has 9982 records with 6 Categorical Features and 20 Numerical Features.
3. Sriya-AI algorithms like Lasso, RNN, MLP, Random Forest, and XGBoost can accurately predict solubility with an average accuracy of 60%-70%.