Forecasting mortgage prepayment and serious delinquency at origination across interest-rate regimes (Freddie Mac SFLLD, Python + DuckDB SQL, LightGBM, competing-risks survival) - ...
A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
Conversion prediction vs. causal uplift targeting on the Criteo Uplift v2.1 randomized experiment (Python, DuckDB SQL, LightGBM; frozen plan, IPW/DR policy evaluation) - jpendeerg360/causal-targeting ...
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