In the theory lectures we have already seen the different options available to us when building binary trees for example the Where p is the proportion of observations for the positive class. Since, we ...

A total of seven distinct supervised ML algorithms were implemented: logistic regression, RF classifier, decision tree classifier, NB, KNN, XGBoost and SVM. The analysis was comprehensive, ...

A decision tree is a flowchart-like tree structure where- Each internal node denotes the feature, Branches denote the rules and The leaf nodes denote the result of the algorithm. It is a versatile, ...