MILO Pro

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)