A test of select machine learning classification models in R.
Machine Learning models are used to make predictions or decisions without the need of explicitly being programmed to do the task. The algorithms used fall within two families: classification and regression. Classification models predict a category and regression models predict a continuous number.
- Logistic Regression
- K-Nearest Neighbor
- State Vector Machine
- Kernel State Vector Machine
- Naive Bayes
- Decision Tree
- Random Forest
- Dependent Variables: 1
- Independent Variables Selected: 2
- Note: The selection of only 2 independent variables can be changed but graphing will only allow for 2D plots with 2 Independent Features
Download and run on R Studio in Anaconda
Brandon Lammey