Issue 7 : Hyper-Parameter Tuning and Ensembles ( Lab 9 - 11)

TrevorA17 / Employee_Performance_Prediction

Predict employee performance using techniques like regression analysis, decision trees, or neural networks.

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Issue 7 : Hyper-Parameter Tuning and Ensembles ( Lab 9 - 11) #7

Closed TrevorA17 closed 4 months ago

TrevorA17 commented 4 months ago

[x] Random/Grid/Manual Search
[x] Bagging/Boosting/Stacking Ensembles (if applicable)

TrevorA17 commented 4 months ago

Random forests have hyperparameters that control the behavior of the model, such as the number of trees in the forest, the maximum depth of each tree, and the number of features considered at each split. Hence in this case it is not applicable.