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Text Classification
벤치마크
Text Classification on DODF Data
10개 결과 ·
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Average F1
0.8374
0.851
0.8646
0.8782
0.8918
2020-03
2026-09
ULMFiT (pre-trained vocab, no gradual unfreezing) — 0.8918 (2020-03-02)
SVM + word counts (pre-trained vocab) — 0.8782 (2020-03-02)
SVM + tf-idf (no pre-trained vocab) — 0.8755 (2020-03-02)
ULMFiT (no pre-trained vocab) — 0.8469 (2020-03-02)
ULMFiT (pre-trained vocab) — 0.8374 (2020-03-02)
ULMFiT (pre-trained vocab, no gradual unfreezing) — 0.8918 (2020-03-02)
SVM + word counts (pre-trained vocab) — 0.8782 (2020-03-02)
SVM + tf-idf (no pre-trained vocab) — 0.8755 (2020-03-02)
ULMFiT (no pre-trained vocab) — 0.8469 (2020-03-02)
ULMFiT (pre-trained vocab) — 0.8374 (2020-03-02)
ULMFiT (pre-trained vocab, no gradual unfreezing) — 0.8918 (2020-03-02)
2020-03-02 — ULMFiT (pre-trained vocab, no gradual unfreezing): Average F1 0.8918
Rank
Model
Average F1
Weighted F1
Paper
Code
Year
1
ULMFiT (pre-trained vocab, no gradual unfreezing)
0.8918
0.9257
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
2
SVM + word counts (pre-trained vocab)
0.8782
0.9049
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
3
SVM + tf-idf (no pre-trained vocab)
0.8755
0.8917
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
4
ULMFiT (no pre-trained vocab)
0.8469
0.8974
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
5
ULMFiT (pre-trained vocab)
0.8374
0.9088
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
6
ULMFiT (pre-trained vocab, no gradual unfreezing)
0.8918
0.9257
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
7
SVM + word counts (pre-trained vocab)
0.8782
0.9049
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
8
SVM + tf-idf (no pre-trained vocab)
0.8755
0.8917
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
9
ULMFiT (no pre-trained vocab)
0.8469
0.8974
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
10
ULMFiT (pre-trained vocab)
0.8374
0.9088
Inferring the source of official texts: can SVM beat ULMFiT?
peluz/kneedle-exploration
2020
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