# Service Classification on ISCXVPN 2016 (Mixed) Source: [Service Classification on ISCXVPN 2016 (Mixed)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:18.350Z Evaluation of network service classification performance using the ISCXVPN 2016 (Mixed) dataset, reporting Accuracy, Mean Precision, Mean Recall, and Mean F1-Score. 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 2016 (Mixed) | | Metric | Accuracy | | 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 - [Accuracy](): Higher is better; unit: PERCENT. - [Mean Precision](): Higher is better; unit: PERCENT. - [Mean Recall](): Higher is better; unit: PERCENT. - [Mean F1-Score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Traffic-MoE | 76.79 | Not recorded | 695b455a53fdd5c361742e4b | | NetGPT | 69.73 | Not recorded | 695b455a53fdd5c361742e4b | | TrafficFormer | 63.73 | Not recorded | 695b455a53fdd5c361742e4b | | AppScanner | 62.49 | Not recorded | 695b455a53fdd5c361742e4b | | ET-BERT | 61.06 | Not recorded | 695b455a53fdd5c361742e4b | | FlowPrint | 56.59 | Not recorded | 695b455a53fdd5c361742e4b | | FS-Net | 53.57 | Not recorded | 695b455a53fdd5c361742e4b | ### Traffic-MoE Accuracy: 76.79. Result ID: 6996f7bb5698665ec4447af2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### NetGPT Accuracy: 69.73. Result ID: 6996f7bb5698665ec4447af0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### TrafficFormer Accuracy: 63.73. Result ID: 6996f7bb5698665ec4447af1. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### AppScanner Accuracy: 62.49. Result ID: 6996f7bb5698665ec4447aec. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Machine Learning (ML)"}. This record does not assert independent reproduction. ### ET-BERT Accuracy: 61.06. Result ID: 6996f7bb5698665ec4447aef. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"paradigm":"Pre-training and Fine-tuning"}. This record does not assert independent reproduction. ### FlowPrint Accuracy: 56.59. Result ID: 6996f7bb5698665ec4447aed. [Reporting paper]() Recorded evaluation configuration: {"paradigm":"Machine Learning (ML)"}. This record does not assert independent reproduction. ### FS-Net Accuracy: 53.57. Result ID: 6996f7bb5698665ec4447aee. [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.