CASE STUDY
PHARMA PRODUCTION
Sriya-AI can improve drug development and production in Pharma Industry.
The dataset has 113,935 records with 1 Categorical and 99 Numerical features.
For classification, Sriya-AI models were created with algorithms like Decision tree, Multilayer Perceptron, Random forest, and XGBoost.
The Sriya-AI algorithms predicted the Fault Reference with an average accuracy between 80% – 83%.