1. Sriya-AI algorithms can be used to classify good or bad investments based on various factors in the investment industry.
  2. The dataset has 4,05,258 records with 5 Categorical Features and 19 Numerical Features.
  3. For classification, models were created with algorithms using Sriya-ML techniques like Decision Tree, RNN, MLP, Random forest and XGBoost.
  4. The Sriya-AI algorithms were able to predict whether an investment is good or bad with an average accuracy between 98% – 100% and helped to identify factors that determine good or bad investments.