Detección de fraude: por qué el AUC-ROC engaña y el AUC-PR no (datos reales)
En detección de fraude hay una trampa estadística que infla currículums: el AUC-ROC. Sobre datos...
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En detección de fraude hay una trampa estadística que infla currículums: el AUC-ROC. Sobre datos...
El fútbol es uno de los deportes más difíciles de predecir: tiene pocos goles, mucho azar y un equipo...
XGBoost vs LightGBM on NIFTY: I Trained Both on 497 Days and They Are Twins (and Both Lose) The ML...
LightGBM vs XGBoost for Nifty Options — Honest Walk-Forward Benchmark (2026) QUICK ANSWER Q: Which...
Pramaana predicts which price barrier an asset reaches first within 24 hours, then turns those probabilities into long and short expected-return score
A practical guide to LightGBM for tabular options-trading signals: how it differs from XGBoost and HistGradientBoosting, why it trains faster, hyperparameter tuning, and a runnable Nifty/options-signal example.

A LightGBM capacity-control baseline for the ICAIF 2026 minute-ceiling paper that rebuilds its labels from parquet, and why label source, stride, p...

We built a feature that dominated our model's importance rankings. Across four random seeds and three...
Extracting deck letters from the Cabin feature in the Kaggle Titanic competition and evaluating its impact.
I Trained a Crypto Quantile Predictor on 47M Klines. The Transformer Lost to...
In our 14-day benchmark run across 12 tabular datasets, LightGBM 4.0 outperformed Scikit-Learn 1.5 by...