| Crates.io | classifier-measures |
| lib.rs | classifier-measures |
| version | 0.4.3 |
| created_at | 2017-07-27 13:58:13.463574+00 |
| updated_at | 2017-09-22 12:23:24.322602+00 |
| description | Receiver Operating Characteristic (ROC) and Precision-Recall curve (PR) computation |
| homepage | https://github.com/potocpav/classifier-measures |
| repository | https://github.com/potocpav/classifier-measures |
| max_upload_size | |
| id | 25351 |
| size | 14,961 |
Rust library to measure classifier's performance using Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves.
The curves themselves can be computed as well as (trapezoidal) areas under the curves (AUC).
A simple example is available here.