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Search results: hyperparameter tuning

Materials on AI, Python, Git, SQL, SAP/ERP, statistics and time series: explanations, examples, practical tips, sources and applicability limits.

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Math & modelsGuide

Quantile Regression with Pinball Loss in scikit-learn

Learn how to implement, evaluate, and tune quantile regression models using pinball loss and the D² skill score in scikit-learn.

scikit-learn / quantile regression / pinball loss / machine learning / regression metrics / model evaluation / hyperparameter tuning / d2 score

Math & modelsGuide

Choosing a regression metric for non-negative data in scikit-learn

Choose a regression metric for non-negative data by first deciding the prediction goal, then picking a consistent loss such as MAE, RMSE, or pinball loss, and finally comparing against a constant baseline with a D2-style score.

scikit-learn / regression metrics / MAE / RMSE / pinball loss / quantile regression / D2 score / non-negative targets