Product Features

  • Fully automated ML binary classification model building and evaluation
  • On premise deployment to maintain full control over sensitive datasets
  • Optimized for small to medium data sets
  • Agnostic predictor providing yes/no answers
  • Follows CRISP-DM approach
  • Builds upon 7 most commonly used binary classification algorithms
  • Foundational Preprocessing Tools for Dataset Train/Test Segmentation, Feature Selection, and Multicollinearity Assessment
  • Access to proprietary tuning parameters to further enhance the model
  • Advanced Preprocessing Tool with Dataset Imputation and Full Automation and Integration Of All the Focused Preprocessing Tools
  • Deployable models (downloadable Python package and API method)
  • Publication ready (does not contain watermarks)