At the outset, the following is a list of salient aspects of supervised learning:
- The term supervised in supervised learning stems from the fact that the algorithm is learning or inferring what the mapping function is.
- A data analysis task, either classification or regression.
- It contains a process of learning or inferring a mapping function from a labeled training dataset.
- Our Iris training dataset has training examples or samples, where each example may be represented by an input feature vector consisting of four measurements.
- A supervised learning algorithm learns or infers or derives the best possible approximation of a mapping function by carrying out a data analysis ...