Build and train classification model from the dataset in MATLAB$)$ using three machine learning techniques of your choice.

Justify the rationale behind the choice of your dataset, machine learning techniques, and programming environment.

Compare and contrast the performance of the three machine learning techniques in terms of prediction or validation accuracy, training time, prediction speed, R$-$squared values, MSE values, and transparency $($as may be applicable$).$

Analyse the error matrices, the ROCs $($and AUCs$)$ for all three methods $($as may be applicable$).$

Comment on how the hyperparameters $($if any$)$ are tuned or optimized $($if applicable$)$ to enhance the built$/$trained models.