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Build and train classification model from the dataset in MATLAB ) using three machine learning techniques of your choice. Justify the rationale behind the choice
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, Rsquared 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 builttrained models.
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