# Service Classification on ISCXVPN NonVPN 2016 Source: [Service Classification on ISCXVPN NonVPN 2016]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:21:49.752Z Evaluation of model performance for Service Classification using the ISCXVPN NonVPN 2016 dataset, measured by Accuracy (ACC), Mean Precision (M-PR), Mean Recall (M-RC), and Mean F1-Score (M-F1). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Service Classification | | Dataset (including any stated split) | ISCXVPN NonVPN 2016 | | Metric | ACC | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [ACC](): Higher is better; unit: PERCENT. - [M-PR](): Higher is better; unit: PERCENT. - [M-RC](): Higher is better; unit: PERCENT. - [M-F1](): Higher is better; unit: PERCENT. ## Recorded results | Method | ACC | Result date | Report paper | | --- | --- | --- | --- | | Traffic-MoE | 76.13 | Not recorded | 695b455a53fdd5c361742e4b | | NetGPT | 66.18 | Not recorded | 695b455a53fdd5c361742e4b | | TrafficFormer | 60.45 | Not recorded | 695b455a53fdd5c361742e4b | | AppScanner | 57.94 | Not recorded | 695b455a53fdd5c361742e4b | | ET-BERT | 55.02 | Not recorded | 695b455a53fdd5c361742e4b | | FlowPrint | 54.59 | Not recorded | 695b455a53fdd5c361742e4b | | FS-Net | 50.93 | Not recorded | 695b455a53fdd5c361742e4b | ### Traffic-MoE ACC: 76.13. Result ID: 6996f7bb5698665ec4447aeb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### NetGPT ACC: 66.18. Result ID: 6996f7bb5698665ec4447ae9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### TrafficFormer ACC: 60.45. Result ID: 6996f7bb5698665ec4447aea. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### AppScanner ACC: 57.94. Result ID: 6996f7bb5698665ec4447ae5. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Machine Learning (ML)"}. This record does not assert independent reproduction. ### ET-BERT ACC: 55.02. Result ID: 6996f7bb5698665ec4447ae8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### FlowPrint ACC: 54.59. Result ID: 6996f7bb5698665ec4447ae6. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Machine Learning (ML)"}. This record does not assert independent reproduction. ### FS-Net ACC: 50.93. Result ID: 6996f7bb5698665ec4447ae7. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Deep Learning (DL)"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.