CASE STUDY
ECONOMICS
Sriya-AI models can help predict total yearly compensation for the economics industry.
The dataset has 62642 records with 9 categorical and 6 numerical features.
Models were created using Lasso, Recurrent Neural Network, Random Forest, and XGBoost algorithms.
Sriya-AI algorithms predicted total yearly compensation with an average accuracy between 75% - 85%.