Table 8 Summarizes the stacking ensemble architecture|

From: Predicting and classifying type 2 diabetes using a transparent ensemble model combining random forest, k-nearest neighbor, and neural networks

Component

Detail

Base models

RF, KNN, NN (with best hyperparams)

Meta model

Logistic regression

Cross-validation

cv = 5 (internal stacking)

Input to meta model

Predicted probabilities of each base model

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