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reuters-21578.

reuters-21578 is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for reuters-21578.

Paper ↗Leaderboard ↓
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

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Accuracy

Accuracy is the reported evaluation metric for reuters-21578. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Accuracyverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01ApproxRepSet
From paper: Rep the Set: Neural Networks for Learning Set Representations
verified97.172019Paper ↗Code ↗Looks wrong?
02REL-RWMD k-NN
From paper: Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
verified95.612019Paper ↗Code ↗Looks wrong?
03Orthogonalized Soft VSM
From paper: Text classification with word embedding regularization and soft similarity measure
verified92.652020Paper ↗Code ↗Looks wrong?

F1

F1 is the reported evaluation metric for reuters-21578. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for F1verifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01MAGNET
From paper: MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
verified89.92020Paper ↗Code ↗Looks wrong?
02VLAWE
From paper: Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
verified89.32019Paper ↗Code ↗Looks wrong?
03KD-LSTMreg
From paper: DocBERT: BERT for Document Classification
verified88.92019Paper ↗Code ↗Looks wrong?
04LSTM-reg (single model)
From paper: Rethinking Complex Neural Network Architectures for Document Classification
verified872019Paper ↗Code ↗Looks wrong?
05SCDV-MS
From paper: Improving Document Classification with Multi-Sense Embeddings
verified82.712019Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

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