Sriya-AI algorithms can be used to classify good or bad
investments based on various factors in the investment
industry.
The dataset has 4,05,258 records with 5 Categorical Features
and 19 Numerical Features.
For classification, models were created with algorithms using
Sriya-ML techniques like Decision Tree, RNN, MLP, Random
forest and XGBoost.
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.