Installation
About
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
| promidat.website/ | |
| github.com/PROMiDAT/predictoR | |
| Bug report | File report |
Key Metrics
Downloads
| Yesterday | 5 0% |
| Last 7 days | 79 -32% |
| Last 30 days | 356 -12% |
| Last 90 days | 1.078 -18% |
| Last 365 days | 4.974 -11% |
Depends
| R | ≥ 4.1 |