Build the following models using balanced dataset. Comment on which metric should be given preference for this dataset. Finalize the model for each technique after Hyperparameter tuning using GridsearchCV based on the metric selected. Compare the model performances with respect to different evaluation metrices.

a$.$ Na$$ve Bayes

b$.$ KNN

c$.$ SVM I

d$.$ Logistic regression

e$.$ Random Forest

f$.$ Adaboost

g$.$ Gradientboost

h$.$ XGBoost