In this task, I have used the Random Forest classifier, the Bagging classifier and the AdaBoost classifier to build different models on the predict diabetes dataset from Kaggel (https://www.kaggle.com/datasets/whenamancodes/predict-diabities). I have computed different adjustestment measures on each of them trying different number of iterations of the different algorithms. Moreover, I have checked that the AdaBoost algorithm doesn't overfit.
The colab notebook is found in the next link:
https://colab.research.google.com/drive/1ijH_trR0jOxXQMkYtyViYY_mzm-LvlQ1?usp=sharing
In case there is any problem with the link, I upload also the files.