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Text Classification on R8

98.94Accuracy

Drop Clause Tsetlin Machine

Updated 17d ago

Evaluation Results

Method
Drop Clause Tsetlin Machine 2021.05	98.94	-	-	-	-
Lguided-BERT-3 2021.04	98.28	-	-	-	-
BERT-large 2026.06	98.28	-	-	-	-
RoBerta-GCN 2026.04	98.2	-	-	-	-
BERT 2026.06	98.2	-	-	-	-
G-Loss 2026.04	98.18	-	-	-	-
DADGNN 2021.09	98.15	-	0.16	-	-
fastText 2026.04	98.1	-	-	-	-
Bert-GCN 2026.04	98.1	-	-	-	-
BERT w/ shuf. augm. 2021.09	98.07	-	0.21	-	-
TensorGCN 2021.09	98.04	-	-	-	-
TensorGCN 2026.04	98.04	-	-	-	-
G-Loss 2026.04	98.04	-	-	-	-
BERT 2021.09	98.03	-	0.24	-	-
TM 2026.06	97.92	-	-	-	-
GLoss-O + CE 2026.04	97.91	-	-	94.53	-
DistilBERT 2021.09	97.89	-	0.15	-	-
LLM-Guided TM 2026.04	97.88	-	-	-	-
SCL + CE 2026.04	97.88	-	-	93.96	-
TM 2026.06	97.88	-	-	-	-
BERT-base 2026.04	97.8	-	-	-	-
RoBERTa-large 2026.04	97.8	-	-	-	-
CE 2026.04	97.75	-	-	93.46	-
GLoss-O + CE 2026.04	97.71	-	-	93.61	-
TM 2026.06	97.7	-	-	-	-
GLoss-SQRT + CE 2026.04	97.67	-	-	94.34	-
SCL + CE 2026.04	97.65	-	-	93.79	-
CE 2026.04	97.57	-	-	93.9	-
TM with k 2021.04	97.5	-	-	-	-
TM 2026.04	97.5	-	-	-	-
TM 2026.06	97.5	-	-	-	-
Lguided-BERT-1 2021.04	97.49	-	-	-	-
BERT 2026.04	97.49	-	-	-	-
G-Loss-O + CE 2026.04	97.49	-	-	93.04	-
BERT-base 2026.06	97.49	-	-	-	-
CE 2026.04	97.48	-	-	93.02	-
GLoss-SQRT + CE 2026.04	97.46	-	-	93.62	-
S2GC 2021.04	97.4	-	-	-	-
UCPOF 2026.02	97.4	-	-	-	-
BERT w/o pos emb 2021.09	97.39	-	0.2	-	-
Full RAG 2026.02	97.35	-	-	-	-
WideMLP 2021.09	97.27	-	0.12	-	-
G-Loss-SQRT + CE 2026.04	97.26	-	-	93.02	-
HeteGCN 2021.09	97.24	-	0.51	-	-
SCL + CE 2026.04	97.24	-	-	93.11	-
SGC 2021.09	97.2	-	0.1	-	-
HeteGCN 2021.09	97.17	-	0.33	-	-
TF-IDF + WideMLP 2021.09	97.08	-	0.16	-	-
HyperGAT 2021.09	97.07	-	0.23	-	-
TextGCN 2021.09	97.07	-	-	-	-
TextGCN 2026.04	97.07	-	-	-	-
Graph-CNN-C 2021.04	96.99	-	-	-	-
TextEnt-full 2018.06	96.7	91	-	-	-
WideMLP-2 2021.09	96.61	-	1.22	-	-
TextEnt-word 2018.06	96.5	86	-	-	-
BoE 2018.06	96.5	88.6	-	-	-
Wikipedia2Vec 2018.06	96.5	88.1	-	-	-
GloVe + WideMLP-2 2021.09	96.5	-	0.14	-	-
GloVe + WideMLP 2021.09	96.44	-	0.08	-	-
TM with ϕ 2021.04	96.39	-	-	-	-
UCPOF 2026.02	96.39	-	-	-	-
Bi-LSTM 2021.04	96.31	-	-	-	-
Skip-Gram-Wiki 2018.06	96.3	87.9	-	-	-
TM 2021.04	96.16	-	-	-	-
Tsetlin Machine 2021.05	96.16	-	-	-	-
TM 2026.04	96.16	-	-	-	-
TM 2026.06	96.16	-	-	-	-
fastText 2021.04	96.13	-	-	-	-
fastText 2021.09	96.13	-	0.21	-	-
LSTM (pretrain) 2021.04	96.09	-	-	-	-
LSTM (pretrain) 2021.09	96.09	-	0.19	-	-
RNN/LSTM 2026.04	96.09	-	-	-	-
LSTM 2026.06	96.09	-	-	-	-
Full RAG 2026.02	96.03	-	-	-	-
BERT 2021.04	96.02	-	-	-	-
CNN-non-static 2021.04	95.71	-	-	-	-
TextEnt-entity 2018.06	95.7	87.8	-	-	-
SWEM 2021.04	95.32	-	-	-	-
SWEM 2021.09	95.32	-	0.26	-	-
TextCNN 2026.06	95.1	-	-	-	-
gold shot 2026.02	94.75	-	-	-	-
fastText (bigrams) 2021.04	94.74	-	-	-	-
fastText 2026.06	94.74	-	-	-	-
BOW-SVM 2018.06	94.7	85.1	-	-	-
CNN-rand 2021.04	94.02	-	-	-	-
char-CNN 2026.04	94.02	-	-	-	-
char-CNN 2026.06	94.02	-	-	-	-
TextGCN 2021.09	94	-	0.4	-	-
TF-IDF+LR 2021.04	93.74	-	-	-	-
BoW TFIDF 2026.04	93.74	-	-	-	-
BoW TFIDF 2026.06	93.74	-	-	-	-
LSTM 2026.06	93.7	-	-	-	-
LSTM 2021.04	93.68	-	-	-	-
RNN/LSTM 2026.04	93.68	-	-	-	-
LSTM 2026.06	93.68	-	-	-	-
gold shot 2026.02	93.51	-	-	-	-
Log. Regression 2021.09	93.33	-	-	-	-
LEAM 2021.04	93.31	-	-	-	-
baseline 2026.02	93.19	-	-	-	-
W2V 2026.06	93	-	-	-	-

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