1. Sriya-AI models can automate tasks in the recruiting process, allowing HR professionals to focus on more strategic aspects of candidate selection.
  2. The dataset has 20000 records with 18 Categorical Features and 55 Numerica Features, with 68.7% of candidates in the Technology field.
  3. Models were created with algorithms like Logistic Regression, Gaussian Naïve Bayes, Multilayer Perceptron, Random forest and XGBoost, with performance measurement values obtained for feature sets of 20, 40, 60 and 72.
  4. The Sriya-AI algorithms were able to predict whether a candidate recruitment was based on Technology or Business with an average accuracy between 55% – 70%.