Concept: Algorithm learns from comes with the correct answers. The model is created to predict the answer for new unknown values.
Prediction problem that predicts the categorical class labels which are discrete and unordered. It is a two-step process, consisting of a learning step and a classification step.
Regression outputs are continuous numbers, they are ordered.
- K-Nearest Neighbors
- Naive Bayes
- Support Vector Machine
- Decision Tree
- Random Forest
- Linear Regression