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To prevent overfitting, JMP 17 Pro utilizes a robust validation architecture. Users can partition data into training, validation, and test sets with a single click. The acts as a centralized hub, allowing analysts to compare different model types—such as a neural network against a decision tree—side-by-side using metrics like R-Square, RMSE, and ROC curves. Advanced Generalized Regression
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: Uplift modeling helps identify which customers are most likely to respond favorably to specific promotions, optimizing budget allocation. To prevent overfitting, JMP 17 Pro utilizes a