Academia | GiniMachine

Topics

Preparing Datasets for AI Scoring Models

ML Model Performance Evaluation

Choosing the Cut-Off Value

How to Start Scoring

Effective Predictive Model Monitoring Tips

Enhancing Risk with In-House Model Integration GiniMachine's Functional Backup Enhancing Key Proxy Business Metrics Removing Human Bias from ML Streamlining Operations and Maximizing Efficiency

Modeling Datasets Scoring Datasets

Data Preparation

How to Prepare a Perfect Dataset for AI/ML Scoring Model of GiniMachine

Model Evaluation

ML Model Performance Evaluation: Gini Index, ROC-AUC, Kolmogorov – Smirnov Score

Scoring Setup

Choosing the Cut-Off Value

Scoring

How to Start Scoring with GiniMachine

Model Monitoring

The Importance of Predictive Model Monitoring and How to Do It

Tips and Tricks

Integrating In-House Models with Other Metrics for Enhanced Risk Management GiniMachine’s Functional Backup: Accelerating Experimentation and Deployment in Data-Driven Decision Making How to Improve Your Proxy Business Metrics with GiniMachine How to Get Rid of Human Bias in Machine Learning Streamlining Operations and Maximizing Efficiency for Data Scientists

Sample Datasets

Historical Data for Training a Model in Supervised Machine Learning Scoring Datasets for Model Evaluation and Decision Making