Mastering Explainable AI: Maximizing DALEX Model Performance & XGBoost

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Another video of the Explainable AI series, and the second one of DALEX. We look at the Model Performance feature, examining the trade-off between False Positive Rate and True Positive Rate, which is characteristic of the ROC curve.

DALEX is one of the most exciting Explainable AI algorithms and features Local Interpretability, Global interpretability, and Model Performance capacities.

Intro (0:00)
Libraries (1:30)
Data import (2:06)
Dummy Variable transformation (2:50)
Isolate X & Y (3:28)
XGBoost Matrix (4:08)
XGBoost parameters (4:48)
XGBoost model (5:47)
DALEX preparation (6:12)
DALEX Model Performance (6:44)
DALEX visualization (7:40)
Outro (9:20)
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