# Text Classification on 20 Newsgroups by-date (test) Source: [Text Classification on 20 Newsgroups by-date (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:06.925Z Evaluation of Text Classification performance on the test split of the 20 Newsgroups dataset (using the by-date split), measured using standard classification metrics such as Accuracy, Precision, Recall, and 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 | Text classification | | Dataset (including any stated split) | 20 Newsgroups by-date (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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. - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1-score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | STC-Q | 87.3 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Diversified Ensemble Neural Network (DEns) | 87.1 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Neural Attentive Bag-of-Entities Model (NABOE) | 86.8 | Not recorded | 68fa3f1e1e209131ce8eb014 | | STC-Q | 86.4 | Not recorded | 68fa3f1e1e209131ce8eb014 | | TextEnt | 84.5 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Cooperative Neural Networks (CoNN) | 83.7 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Logistic Regression (LR) | 80.5 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Support Vector Machine (SVM) | 78.8 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Multinomial Naive Bayes (MNB) | 74.4 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Random Forest (RF) | 73.9 | Not recorded | 68fa3f1e1e209131ce8eb014 | | Decision Tree (DT) | 54.9 | Not recorded | 68fa3f1e1e209131ce8eb014 | | K-Nearest Neighbors (KNN) | 52.9 | Not recorded | 68fa3f1e1e209131ce8eb014 | ### STC-Q Accuracy: 87.3. Result ID: 698b98397a967eddb76fe002. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hyper-parameter p":"1/3","Vectorization scheme":"None (direct on terms)","Hyper-parameter Tuning":"modified quantum probability amplitude"}. This record does not assert independent reproduction. ### Diversified Ensemble Neural Network (DEns) Accuracy: 87.1. Result ID: 698b98397a967eddb76fe001. [Reporting paper]() Recorded evaluation configuration: {"Hyper-parameter Tuning":"specifically tuned"}. This record does not assert independent reproduction. ### Neural Attentive Bag-of-Entities Model (NABOE) Accuracy: 86.8. Result ID: 698b98397a967eddb76fdffe. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hyper-parameter Tuning":"specifically tuned"}. This record does not assert independent reproduction. ### STC-Q Accuracy: 86.4. Result ID: 698b98397a967eddb76fdffd. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hyper-parameter p":"1/2","Vectorization scheme":"None (direct on terms)","Hyper-parameter Tuning":"standard configuration"}. This record does not assert independent reproduction. ### TextEnt Accuracy: 84.5. Result ID: 698b98397a967eddb76fdfff. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Hyper-parameter Tuning":"specifically tuned"}. This record does not assert independent reproduction. ### Cooperative Neural Networks (CoNN) Accuracy: 83.7. Result ID: 698b98397a967eddb76fe000. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Hyper-parameter Tuning":"specifically tuned"}. This record does not assert independent reproduction. ### Logistic Regression (LR) Accuracy: 80.5. Result ID: 698b98397a967eddb76fdffc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. ### Support Vector Machine (SVM) Accuracy: 78.8. Result ID: 698b98397a967eddb76fdffa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. ### Multinomial Naive Bayes (MNB) Accuracy: 74.4. Result ID: 698b98397a967eddb76fdffb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. ### Random Forest (RF) Accuracy: 73.9. Result ID: 698b98397a967eddb76fdff8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. ### Decision Tree (DT) Accuracy: 54.9. Result ID: 698b98397a967eddb76fdff7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. ### K-Nearest Neighbors (KNN) Accuracy: 52.9. Result ID: 698b98397a967eddb76fdff9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Vectorization scheme":"Tf-Idf","Hyper-parameter Tuning":"default scikit-learn"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.